Stefano Portigliotti a, Massimo Dumontela a, Gianluigi Baldesi b, Donato Sciacovelli b a Guidance Navigation and Control Section,

Size: px
Start display at page:

Download "Stefano Portigliotti a, Massimo Dumontela a, Gianluigi Baldesi b, Donato Sciacovelli b a Guidance Navigation and Control Section,"

Transcription

1 DCAP (Dynamcs and Control Analyss Pacage) an Effectve Tool for Modellng and Smulatng of Coupled Controlled Rgd Flexble Structure n Space Envronment Stefano Portglott a, Massmo Dumontela a, Ganlug Baldes b, Donato Scacovell b a Gudance Navgaton and Control Secton, System Avoncs and Operatons Dvson, Alena Spazo SpA,Torno, Italy b Structures Secton, Thermal and Structures Dvson, ESA/ESTEC, Noordw, The Netherlands Abstract The paper presents the software DCAP (Dynamcs and Control Analyss Pacage): a sute of fast, effectve computer programs that provdes the user wth capablty to model, smulate and analyze the dynamcs and control performances of coupled rgd and flexble (NASTRAN nterfaced) structural systems subected to possbly tme varyng structural characterstcs and space envronment loads. It uses the formulaton for the dynamcs of mult-rgd/flexble-body systems based on Order(n). Ths avods the explct computaton of a system mass matrx and ts nverson, and t results n a mnmum-dmenson formulaton exhbtng close to Order(n) behavor, n beng the number of system degrees of freedom. A dedcated symbolc manpulaton pre-processor s further used n the codng optmzaton. The modelng capablty s completed wth the possblty of user-defned software, allowng for modelng of specfc control feature not drectly ncluded n the dynamc pacage's lbrary. For the latter control modelng, a new nterface s beng a developed allowng to descrbe the user control drectly by Matlab/Smuln blocs. An applcaton example of 3D traectory flght of a frst stage launch vehcle wth flexble tme varyng structural propertes s presented. Bref overvew of Dynamcs and Control Analyss Pacage DCAP s a sute of fast, effectve computer programs that provdes the user wth a powerful tool for desgnng and verfyng the dynamcs and control performance of coupled rgd and flexble structural systems. The software modules that t contans can be grouped nto four general categores: Pre-Processng, Processng, Post- Processng and Utlty ncludng the MATDCAP I/F to Matlab/Smuln, [1]. Communcaton between the modules s acheved va the dedcated fle structure. The pacage provdes the user wth an outstandng capablty to model, smulate and analyze a complex mult-body system. The latter can be connected n open- and closed-loop topologes, where relatve moton s defned through 'hnges'. Each

2 hnge allows from zero to sx relatve degrees of freedom, as t can be free, loced or constraned to pre-defned moton. Pre-Processng Processng Post-Processng Buld_Model Interactve pre-processor for model defnton Buld_Model -x Pre-processor wth Graphcs User Interface Buld_Model -g 3D graphc modeller Pre_Flex Flexble data pre-processor ASKA-DCAP-NASTRAN Interface Intalse_Orbt Orbtal Data Intalsaton Tme-doman programs Frequency-doman programs Utlty Trans_Matrx Matrx Quadruples Handler MATLAB-DCAP-MATRIXx Interface Plot_Results Smulaton runs graphc post-processor Tme Plots Frequency Plots (Bo de, Nchols, Nyqu st) Root Loc Plots Harmonc (FFT) Plots Anmate 3D anmaton tool Fgure 1: DCAP software modules Transton modes between hnge states can be mplemented as well, allowng locng and releasng commanded through montorng of sutable dynamc states durng system dynamc evoluton. Leaf Bodes Leaf Bodes Leaf Bodes Cut Jont Base Body Branch Body Base Body Branch Body Base Body Base Body (a) Body 1 Hnge 1 Inertal Reference Body 1 Hnge 1 Fgure 2: Open-loop (a) and closed-loop(b) tree topologes (b) Inertal Reference From a general vewpont, the DCAP model s the combnaton of four components: 'structure' or 'plant': the mult- body topology tself 'sensors': the feature that allows the extracton of system moton nformaton for performance montorng 'actuators': the feature through whch forces and torques are appled to the structure 'controller': the part of the system drvng the mult-body structure n order to acheve the allocated obectve. DCAP capabltes can be summarzed to nclude: Rgd and Flexble Body Chans, Open- and Closed- Loop Topology, Sx Degree-of-Freedom Hnges, Large-Angle Rotatons, Lnear and Non-lnear Tme Doman Smulatons, Order (N) Algorthm, Symbolc Code Generaton, Orbtal Envronment, Bult-n Sensors and Actuators,

3 Non-lnear Devces (ncludng Coulomb Dampers), Numercal Lnearzaton, Contnuous/Dscrete/User Controllers (Transfer Functon, State Space, Bloc Dagram), Fle Interface to MATLAB, Fle Interface to NASTRAN, Frequency Response, Interactve Pre- and Post-processng and MATDCAP code I/F to Matlab/Smuln. The core of the pacage conssts of the computatonal modules, partcularly orented towards the smulaton of the non-lnear dynamcs of mult-body systems. In addton, programs for numercal lnearzaton, matrx representaton manpulaton (state space) and system combnaton allow lnear problems n both the tme and frequency domans to be handled. Interfaces to popular fnte-element software pacages such as NASTRAN (MSC and COSMIC) and ASKA, are avalable and gve a drect capablty to defne complex flexble structures. Smlar nterfaces are provded to control desgn pacages le MATLAB/Smuln. The modelng capablty s completed wth the possblty of user-defned software ntegraton, allowng for the use of specfc features (sensor and actuator dynamcs, user controller, etc.) not drectly ncluded n the pacage's lbrary. The user frendlness of DCAP s sgnfcantly ncreased usng Matlab. In order to acheve ths challengng target a Matlab S-functon has been created. DCAP allows for code generaton both n FORTRAN and n C. These two optons are both compatble wth codng the S-functons n MATLAB Smuln. Consstently wth avalablty n tme of the DCAP upgrades, the FORTRAN I/F opton s currently mplemented n frst nstance for MATDCAP. Smlar I/F n usng C code s planned to be n a subsequent phase where relatve merts could be envsaged. Ths s-functon can help the user to desgn the system, n fact, used le a Smuln bloc, t can be lned drectly to any other blocs. Ths maes the modelng of the control part much easer and effcent. To let the user the possblty to decde whch ntegrators of DCAP or of MATLAB Smuln would have to tae control of the smulaton, there have been developed two dfferent nterfaces: I. The MATLAB Smuln ntegrator drves the smulaton. In ths case the S- functon s lmted to the calculaton of the tme dervatves, t nterfaces sensors and actuators n the contnuous and possbly n the sampled doman. However under the constrants of beng drven by the tmng mposed by the MATLAB Smuln scheme. Consequently specal features of the DCAP requrng adaptaton of the ntegraton step, such as locng, stcton, could II. not be run n ths scheme. The scheme s run wth constant ntegraton step. The latest one gves the user the possblty to have ndependent ntegrators for the MATLAB Smuln model and for the DCAP model Ths case allows for the two models to exchange nformaton at dscrete tme nstants only. Specal features of the DCAP can be used wthout problem. The analyss of results s supported by a specfc plottng pacage that can handle tme-doman plots, harmonc analyss (drect and nverse FFT), and Bode, Nchols,

4 Nyqust and Root locus charts. Performance can also be nspected va a powerful 3D anmaton tool, whch helps the user to vsualze the smulaton results. The DCAP development has been done on VAX/VMS computers, wth later extenson to UNIX (Sun, Slcon Graphcs) worstatons, recent adaptaton to Lnux machnes and on Wndows (MATDCAP) machnes. The software pacage s complemented by a full set of manuals (User, Theory, Demonstraton and Installaton). Dynamcs formulaton Introducton Early approaches to the dynamcs formulaton for multbody systems led to the equatons of moton, for open-loop tree topologes, of the form M q& = F (1) [ ] T q = q1 q1 L qn where, M s an n n mass matrx, s an n 1 column matrx representng the generalzed coordnates and F s the column matrx contanng the contrbutons from centrfugal, Corols, gravtatonal and external forces. For a numercal smulaton of such a system, the mass matrx must be nverted. Snce the nverson of an n n matrx nvolves operatons of the Order(n3), ths s called an Order(n3) approach. As the number of degrees of freedom ncreases, ths matrx nverson, for every ntegraton step, becomes computatonally expensve. Thus, researchers have sought methodologes to crcumvent the mass matrx nverson, to mprove computatonal effcency. The need for computatonal effcency frst arose n the area of robotcs, where effcent controller desgns ncorporatng the system dynamcs were sought. The research nto mprovements n formulatons that ncrease computatonal speed resulted n - what are today called - Order(n) algorthms. The reason for ths nomenclature s that the computatonal burden n these schemes ncreases only lnearly wth n. The equatons of moton are derved usng Kane's method of generalzed speeds [8,9] for the defnton of dynamcs wth respect to actve degrees of freedom (dofs). The method conssts essentally of two parts: a frontal part, n whch the nerta and actve forces assocated wth each body are shfted to ts nboard body and ths process repeated untl the core body s reached, and a bac substtuton part n whch all the acceleratons are obtaned n terms of the core body acceleratons and all the external forces actng on the system. A multbody system n a topologcal tree s shown n Fgure 2. Body 1 s an arbtrarly selected reference body assumed to be connected to an magnary nertally fxed body, numbered 0. An accountng system s developed that supples a unque procedure for wrtng the nematcs of any body n the system. At the heart of ths system s the defnton of body pars and L(). For Body, L() s the adacent body leadng nward to Body 0 (or to the core body, Body 1). Body L() s then defned as the body drectly nboard of Body. Note that, snce tree topologes are consdered, a body can have more than one outboard body.

5 Wth ths defnton of and L(), the remanng system topology varables used for the accountng procedure are defned as follows. Leaf bodes are bodes wth no bodes drectly outboard. Branches are defned as a set of bodes mang up a chan topology. Branch bodes are bodes n a branch, and thus contan outboard as well as nboard bodes. The system confguraton s then completed by defnng the system degrees of freedom (DOF). Body L() Reference L() r p Body L() (nboard of ) L() u p L() R f "p" node r L() L() y "q" node R f Body u q r q R Inertal Reference Fgure 3: Body -L() par Body Reference r 0 u 0 ρ dm "Nodal Body" 0 These are categorzed nto rgd body and elastc degrees of freedom. The former are defned through the defnton of onts that permt relatve moton, and the latter are defned usng the assumed modes method. A ont, shown n Fgure 3, s defned between a par of materal ponts, one on each of the adonng bodes and L(). The rgd-body DOF are then characterzed by the relatve translaton and rotaton of two sets of reference axes located at the two nodes, q on body and p on the body nboard of body -.e., on L(), mang up the th ont. These onts can have up to sx degrees of freedom. The followng symbols are used to descrbe the system confguraton: NS = NB ( NT + NR + NM ) = 1 NB = Number of bodes NT = Number of translatonal DOF at th hnge NR = Number of rotatonal DOF at th hnge NM = Number of deformatonal DOF of Body NS = Total number of degrees of freedom of the tree Formulaton of equatons of moton The equatons of moton are derved va Kane's method. The formulaton and the correspondng soluton algorthm are based on the nematc relatonshps between body pars and L(). Referrng to Fgure 3, we proceed as follows.

6 The vector locatng an elemental mass dm of Body, by a recursve form n the nertal frame, s gven by where L( ) f elemental mass dm n L( ) p L( ) p L( ) ( r + u ) + r u R = R + r + u + y + (2) r s a vector that defnes the undeformed confguraton of the b reference frame, and u q = q NM l= 1 l φ ( r l ) η ( t ) represents the elastc deformaton (vector) experenced by dm as the sum of the product of a set of assumed mode shape vectors φ ( r ) and ther tme-varyng ampltudes l l η ( t ). Usng a set of generalzed speeds W1, K WNS (tme dervatves of coordnates characterzng the confguraton, [9] whch represent the DOF of the system, the R & can always be wrtten as: Where, NS R & = V W + V (3) = 1 V are the coeffcents of the generalzed speeds, and V and functons of the NS generalzed coordnates and tme Newton's law for the tree structure can be wrtten as NB = 1 B V ( d f R& dm) where, df s the force on the dfferental element and of dm. t V t are & + 0, = 1, 2, K, NS (4) R & s the nertal acceleraton The system equatons of moton (Equaton (4)) results n an NS NS mass matrx. Thus, durng numercal smulaton the above algorthm requres the nverson of an NS NS mass matrx, mplyng O(n3) operatons over a reduced set of actve dofs. The steps towards achevement of an Order(n) behavor are descrbed n [4,5,6,7], wth DCAP mplementaton detals n [10] and summarzed n the followng secton. Order(n) soluton algorthm The soluton algorthm, presented n detals n [10], can be thought of as consstng of two basc parts - a frontal part and a bac substtuton part, whch are based on recursve formulaton of the body -L() nematcs. The dsplacement of body- reference can be expressed as

7 and dfferentated to L L L ( p p ) ( q q ) L( ) ( ) ( ) ( ) R = R + r + u + y r + u f f f o ( r 0 + u 0 ) + u 0 + ω0 ρ R& = R& + ω (6) where the open dot denotes dfferentaton wth respect to tme n Body- frame and ω = ω ω 0 = ω L( ) + u o + u o L( ) p 0 + L( ) where the prme dentfes the rotaton due to flexblty, as detaled n later sectons. Wth the generalzed veloctes for Body- defned as { q } ω T & = y& 1 K y& & θ 1 K 1 NT & θ & η K & η NR NM (8) for the th hnge NT translatonal and NR rotatonal (Euler angle) dofs and th body modal coordnates η, the expresson of (3) becomes R& q& R& = q& f ω + q& o q u u 0 ω0 ( r + u + ρ ) + + ρ 0 0 or R& f η& = V + ω ( r 0 + u ρ 0 + ) + V 0 q& (10) Wth the coeffcents of generalzed speeds defned as o q& q& f R& ω η& u u f 0 0 V = ω = V = + ρ y& θ& η& η& The generalzed nertal forces can then be expressed as f * T = b R&& dm f * R = b ( r + u ) R&& dm o o * { fη } = b V &η R& dm And equvalently the generalzed actve forces determned by dottng the actve forces df and torques dτ to coeffcents of generalzed speeds f { fη } = f & η = V df f = ω ( dτ + + b R b ( r T u ) d f ) d f V b The above expressons for the nertal forces wll be functon of { R& },{ & ω },{ && y },{ && θ },{ & η }. L( ) L( ) (5) (7) (9) (11) (12) (13)

8 The frontal part conssts of the steps needed to perform the elmnaton of a body's modal { η& & } and relatve ont degrees of freedom { & y },{ & θ } n terms of ts nboard body motons { R& ( ) },{ ω& L( ) } L and nown external forces. Once performed the step for a leaf body-, the obtaned equatons are shfted to nner body-l() reference obtanng equatons augmented due to the contrbuton of outboard body-. The process s repeated untl the core Body-1 s reached, for all branches, and augmented dynamc equatons are then solved wth respect to 1 1 { y },{ & θ & } dofs. Note that, for a core body, R & L( ) and ω& L( ) are null vectors. The bac substtuton part conssts of ndeed bac-substtutng along the tree topology and determnng the body/ont- DOF acceleratons n terms of the moton varables of ts nboard body-l(). The soluton algorthm, whch s demonstrated to behave as Order(n), can then be summarzed as follows: Step 1: Defne the system topology and ntalze the ont varables and ther rates. Step 2: Compute all nematc relatonshp and generalzed nertal and actve force quanttes. Step 3: Frontal Part: a) For all leaf bodes n the branch, perform the modal and ont DOF elmnaton s. Setup the nerta forces of body and the actve forces. b) For a generc branch body, frst obtan the nerta forces of all of ts outboard bodes n terms of the current branch body and ts nboard body acceleratons. Follow steps 2 and 3a, except that the contrbuton from ts outboard bodes must be consdered for the nerta and actve forces, respectvely. A generc branch body may have more than one outboard body and hence the order n whch these elmnaton s are carred out s mportant. Complete steps 2-3 for all the bodes n the system untl the core body s reached. Step 4: Solve for the acceleratons assocated wth the augmented core body DOF n terms of all the actve forces on the system. Step 5: Assemble the system state vector dervatves for numercal ntegraton, ncludng addtonal states comng from user code Step 6: Bac Substtuton: Worng from Body 1 outward, solve for all the body. Note that, n the present algorthm the system mass matrx s never explctly nverted, thus avodng the need for O(n 3 ) operatons. The computatonal burden ncreases only lnearly as the number of bodes n ncreases, because the present algorthm requres computatons of Order(n). The Order(n) dynamcs formulaton s extended to closed-loop topologes (Fgure 2.b). The method conssts of renderng the system open-loop by ntroducng a cutont n the system In addton to the actve forces present n the system, the (unnown) constrant forces and torques ntroduced by the cut-ont must be accounted for. These unnowns wll be elmnated by usng the compatblty condtons at the cut-ont. Thus, ths procedure wll nvolve two frontal and two bac substtuton steps for every closed-loop n the system. Detals on DCAP Order(n) formulaton for closed-loop topologes s gven n [10].

9 Symbolc processng Symbolc processng of the equatons of moton can result n a substantally more effcent smulaton. Ths ncrease n effcency s acheved through smplfcatons that are possble because of specal confguraton characterstcs, as well as arthmetc and algebrac smplfcatons. A schematc of the symbolc processng and smulaton modules, along wth ther relatonshp wth the DCAP pacage, s shown n Fgure 4. They receve ther nput from three sources: ` Fgure 4: DCAP Smulaton Context dagram a confguraton data fle whch descrbes the mult-body system beng smulated, ts topology and propertes, generated through DCAP command lne or Graphc User Interface modules a flexble-body data set that contans data relatng to the flexblty propertes of each flexble body n the system, obtaned from dedcated nterface to general fnte element codes or generated nternally for smplfed flexble body types (see later secton) an equaton fle contanng the templates of the equatons of moton of a generc mult-body system, mplementng the formal codng of all the nematc, frontal and bac substtuton equatons consstent wth the formalsm outlned n prevous secton The symbolc processor, coded n C-language, produces n output a set of FORTRAN source fles contanng the mplementaton of the specfc set of equatons of moton that are applcable to the mult-body confguraton defned. Ths source code s then compled and lned wth the smulaton lbrary to generate the executable module. An addtonal set of user-defned routnes s conceved n DCAP n terms of user-contnuous-controller, user dscrete-controller or userfuncton generator. The user-controllers mplementaton s revsted latter n ths paper hen descrbng the Matlab nterface n MATDCAP secton.

10 Flexble bodes The modal formulaton used n DCAP for flexble bodes depends on the defnton of assumed mode shape vectors φ ( r ) beng multpled by tme-varyng ampltudes η ( t ) for th mode. The local deformaton s then expressed, conformng the nodal-body2 notaton shown n Fgure 3, wth flexble dsplacement and rotaton u 0 NM NM Φ 0 0 = 1 = 1 ( r ) η u = Φ ( r ) η = (14) The modal shapes φ and modal slopes φ can be ether obtaned from popular fnte element codes, or expressed analytcally for smple flexble body confguraton such as beams or cables. Modal representaton allows the defnton of a mass matrx for body- that s confgurable up to 2 nd order nonlnear dependency on modal coordnates. NM [ M ] [ L ] [ M + N ] [ Y ] [ ] R M = + T η + T [ L ] [ m ] = 1 [ Y ] [0 ] (15) NM NM [ P ] [0 ] + η η T = 1 = 1 [0 ] [0 ] Wth the sub-matrx parttons applyng for the 6 6 rgd body components dentfed by the rgd body mass matrx [ M R ], the NM NM modal mass matrx [ m ]. At zero order, the couplng wth flexble dofs s defned through the modal partcpatons [ L ] szed 6 NM, defned wth respect to body reference as [ r φ Kr φ ] dm = b 1 NM [ L ] [ φ Kφ ] dm b 1 NM wth the ntegraton defned at fnte element code level. It should be notced that n DCAP formulaton, the rotatonal terms are located n row/colum 1 3, the translatonal n 4 6. At frst order, the [ M + N ] 6 6 matrces allow the mplementaton of frst order dependency of the center of mass and nerta tensor on deformaton η, whle the [ Y ] 6 NM matrces gves the frst order change n modal partcpatons. Wth the 3 3 parttonng 0 (16)

11 and ~ ( φ ~ r + ~ ~ r φ ) ~ dm φ dm b b [ M + = N ] ~ (17) φ dm 0 b = [ φ φ Kφ φ ] dm [ Y b 1 NM ] (18) 0 At second order, the [ P ] matrces allow the mplementaton of second order dependency of the nerta tensor on deformatons η η. ( ~ φ ~ φ ) = dm 0 [P b ] (19) 0 0 It s worth pontng out that selecton of modal bass s left to the user defnton of the constrants n the fnte element model. In the general approach, selecton of normal modes of vbraton allows mplementaton of dagonal modal mass [ m ] and modal stffness [ ] matrces, wth the former selectable to dentty. The general purpose Alter routnes provded wth DCAP pacage allow drect computaton wthn NASTRAN of the requred modal ntegrals to be handled by pre_flex flexble data pre-processor. As a very useful extenson, Crag-Bampton approaches are also mplemented n the nterface routnes. The fxed-nterface normal modes bass s augmented wth statc modes (unt dsplacement at nterface dofs), whch allow usage of reduced modal bases for mproved convergence when redundant constrants are dentfed for the flexble body n the tree topology. Clearly, for Crag-Bampton approaches the modal mass matrx wll be no longer dagonal. Propertes of the egenfunctons of a fxed-free beam The assembly of modal ntegrals startng from fnte element models allow the ntegraton n DCAP models of complex flexble bodes. Nevertheless, for smple shapes such as beams and cables, the modal ntegrals can be obtaned nternally wth mplementaton of analytcal defnton of mode shapes. The boundary value problem assocated wth a unform beam wth fxed-free end condtons s defned by EI u ( x ) λµ u( x ) = 0 (20) wth the assocated boundary condtons, u (0)=0 and EIu'''(L)=0 where, EI and µ are the stffness and mass per unt length, respectvely, and u(x) s the elastc dsplacement of a pont along the beam wth spatal coordnate x. Prmes denote dfferentaton wth respect to x.

12 By solvng the egenvalue problem, the characterstc equaton s obtaned as: cos βl coshβl = 1 (21) and, the egenfunctons assocated wth each of the solutons of the characterstc equaton are gven by 1 φr( x ) = [( cos βr x coshβr x) + Ar ( sn βr x snh βr x) ] (22) µ L Where the r th egenvalue s defned as 4 λµ β = (23) EI and sn βrl snhβrl Ar = (24) cos βrl + coshβrl and the egenfunctons are unt modal mass normalzed such that ( ( x ), µφ L 2 ( x )) µφ ( x )dx = 1 φ (25) r r The vbraton frequences are obtaned from the relaton, ω 2 =λ. An mportant observaton s n order wth regards to obtanng the frequences of fxed-free beams wth dfferent lengths, whch s the case when a beam wth a prsmatc end condton s travellng whle the ont tself remans statonary. The characterstc equaton, Eq.(21), s a functon of the product βl, and not a functon of β or L alone. It mples that the characterstc equaton can be solved once and for all, the solutons of the characterstc equaton, namely βl's can be tabulated, and the frequences of a unform fxed-free beam of any length can be obtaned from such a table and Eq.(23). Mathematcally, d dl 0 r ( β L) = 0 (26) Expandng Eq.(26), the varaton of β wth respect to L can be obtaned as dβ β = dl L (27) Or, n terms of the frequences, dω 2ω = dl L (28) A closed-form soluton for ω s gven by ω ( L ) = D 2 L (29) where the length dependency of the frequences s stated explctly and D = ω( L 0 ) L 2 0 s a constant. Snce the frequences and the assocated egenfunctons for any length of the beam can be obtaned, a queston s rased as to

13 how the egenfunctons can be related for two beams of dfferent lengths. To ths end, t can be shown that dφr( x,l ) 1 x dφr( x,l ) = φr( x,l ) (30) dl 2L L dx where, the length L on the rght sde of Eq.(22) s also treated as a varable n obtanng the above result. The above analyss s vald even f the boundary condtons are dfferent but stll represent the classcal end condtons such as pnned or guded; then, Eqs.(20) and (22) wll be approprately modfed. Although the normalzaton constant wll not retan ts smple form as n Eq.(23), t wll contan the product βland hence d( βl ) = 0. dl Dynamcs of flexble structures durng deployment An extenson allowable n DCAP wth respect to the analytcal modelng of beams and cables s represented by the mplementaton of models for deployng structures. The complex formulaton of a flexble beam or cable n deployment s nternally handled by DCAP through the symbolc processor, allowng the automatc mplementaton of the tme-varyng flexblty of the body beng deployed. The equatons of moton for a structure durng deployment from and retracton nto a base that s part of an open-loop mult-body chan. The contnuously changng elastc behavor of such a structure s modeled through nstantaneous frequences and mode shapes, usng a contnuum approach. The propertes of the egenfunctons of a fxed-free beam are exploted to express varous doman ntegral terms as explct functons of the nstantaneous deployed length. The equatons reflect the effects of rgd-body and elastc motons on each other. Thus, ths complete model can be used n the controller desgn, f desred. The deployment rate and the base/hnge rotatonal moton can also be prescrbed, f one s only nterested n studyng the effect of rgd-body moton on the elastc behavor of the structure. A maor obstacle to the modelng of structures durng deployment s that the elastc behavor of the structure undergoes contnuous change. Consder the deployment of a space truss from a canster. As the deployed length ncreases, the flexblty of the structure ncreases. Snce ths s a contnuous process, the frequences of the structure also undergo contnuous change. Consder the elastc behavor of a beam under deployment from a fxed base. It s usually assumed that translatng flexble lns can be modeled as beams (Euler- Bernoull model) n flexure wth fxed-free end condtons [11,12]. Tabarro et al. [11] derved certan propertes of the mode shapes of fxed-free beams n flexure. The results of [11] have been used n [12] to study the effect of the couplng between the translatonal (rgd-body) and flexble motons.

14 The canster s assumed to be attached to the nboard body through a hnge that L ( ) y = 0 permts only relatve rotatonal moton. Thus. Let the deployed porton of the space truss be modeled as a beam havng unform stffness and mass propertes. Assumng that the staced porton of the structure behaves le a rgdbody, the deployed porton of the structure can be modeled as a flexble beam that s nstantaneously fxed to the staced part. Let the translatonal (deployment) velocty of the beam be denoted by L &. As the beam s extended, the length of the vbratng secton of the beam ncreases. We denote the length of the beam outsde the support by L and assgn the spatal varable x measured from the fxed end to denote the materal pont on the deployed porton of the beam. Let x=0 and x=l correspond to the fxed- and free-ends, respectvely. Now, the part of the beam outsde the support can be modeled as a fxed-free beam at any tme nstant. Varable mass and varable stffness bodes In later mplementaton, the capablty for havng bodes changng ther mass and stffness propertes durng the dynamc smulaton has been extended to both rgd bodes (for the mass, center of mass locaton and nerta tensor varaton) and generc flexble bodes obtaned from fnte element models (for both mass propertes and stffness propertes). The mplementaton has been allowng the confguraton of specfc rgd-varable and flexble-varable body types. For these body types, mass, center of mass, nerta tensor, modal mass and stffness matrces are made tme-dependent through the defnton of a specfc number of user-defned confguraton data. For flexble bodes, ths means avalablty of a set of fnte element code runs for a fxed structural topology at some reference ey confguraton. For rgd bodes, a dedcated fle hostng several confguraton data ponts d mplemented. The varablty can be selected to be ether functon of tme or functon of mass. It s relevant to notce that no nternal consstency chec s made for the forces arsng from mass varaton. In other words, when defnng the dynamcs symbolcally as d F ( t ) = ( M R & ) = M( t )R( && t ) + M( & t )R( & t ) (31) dt The rght sde term M & ( t )R( & t ) should be mplemented by the user as external force consstently wth the specfed M(t). A typcal case s represented by a launch vehcle. In the user-defned FORTRAN routnes, the engne can be modeled by the user though the specfc mpulse and the mass flow rate rates. The DCAP user contnuous controller allows nternal codng of states to be ntegrated n lne wth system dynamcs, and therefore the modeled mass flow rate can be ntegrated to obtan the nstantaneous mass of fuel burnt and the nstantaneous mass of the vehcle. The latter can be made avalable as output of the user-controller and lned as varable drvng the tabular mass/stffness nterpolaton for tme-varyng data.

15 The number of allowable confguraton can be selected by the user, and the runtme update performed. Ths mplementaton s clearly optmal n terms of run tme for the Order(n) formulaton, where no mass matrx nverson s drectly requred. In classcal Order(n 3 ) formulaton the approach s nstead rather tme consumng, requrng besdes mass matrces assembly ther explct nverson at each ntegraton step. An applcaton: LV GNC smulator The LV gudance, navgaton and control functon s performed by an On-Board program flght Computer (OBC), whch executes the navgaton calculatons and mplements the gudance law (Fgure 5). Ths functon s performed wth the ad of an Inertal Measurement Unt (IMU), whch delvers navgaton and atttude data to the computer. Atttude control s performed: o Durng frst three stages flght by vectorng of the motor thrust acheved by deflecton of the motor nozzle. Ths functon s mplemented by the Thrust Vector Control system o Durng exo-atmospherc flght by atttude control thrusters actuaton Motor nozzle deflecton commands are transmtted to the TVC system electronc control unt IPDU (Integrated Power Dstrbuton Unt), whch mplements a local feed-bac control system to deflect the nozzle and eep t n the desred poston worng aganst loads appled to the nozzle. Computatonal tools are sought necessary to perform a) non-lnear traectory dynamcs tme smulaton under varable mass, b) control desgn evaluaton at dscrete traectory ponts n lnear doman, c) stage separaton dynamcs. The DCAP software has been selected for the tass nvolvng non-lnear dynamcs smulaton, ncludng modelng capabltes of contact dynamcs, and stcton-frcton. For the control desgn analyss, as for the case of TVC related actvtes, advantages exst also here n usng the MATLAB envronment. Partcularly wth respect to control tools, the post processng analyss and use of the numerous computatonal tools (tool boxes) of MATLAB. I M U NAVIGATION CURRENT LV Poston & atttude GUIDANCE DESIRED TVC ptch & yaw actual pston 1 dplacement TVC DESIRED pstons dplacement TVC angles actual pston 2 dplacement TVC pstons dsplacement Fgure 5: LV GNC descrpton

16 Results Lnear analyss Ths analyss opton s mplemented n DCAP by means of numercal lnearsaton of the non lnear dynamc equatons about an assumed equlbrum state. The model s mplemented for a 6DOF confguraton wth two pstons now actuatng on the nozzle. Fgure 6 shows examples of frequency response from demanded pston 1 dsplacement to actual pston 1 dsplacement, whle Fgure 7 shows the correspondng cross-couplng from demanded pston 1 dsplacement to pston 2 dsplacement. These results are relevant to a case wth LV flexblty begnnng of lfe, bg loop open, and no force feedbac n the pston control. Fgure 6: Frequency response from demanded pston 1 dsplacement to actual pston 1 dsplacement Fgure 7: Cross-couplng from demanded pston 1 dsplacement to pston 2 dsplacement Non-lnear analyss DCAP also allows the non-lnear tme smulaton of the LV traectory. Optons are avalable for ncludng rgd and flexble tme varyng dynamcs. Currently the software runs on DCAP Lnux Platform and on MATDCAP n Smuln/Matlab Wndows envronment. The followng fgures show the man results of a 1 st stage 3D non-lnear traectory smulaton.

17 Fgure 8: X-nertal poston of LV CoG Fgure 9: Desred vs Actual Pston 1 Poston Fgure 10: Fly Alongsde vew Fgure 11: Fxed Poston vew Concluson Generc modelng capabltes and computatonal speed are strong assets of the DCAP. Recent advances address senstvty modules towards MonteCarlo type of analyss and MATLAB-Smuln I/F. The latter maes the control desgn tas much smpler thus when mplemented us a user dedcated functon wthn DCAP. Ths way of operaton s expected to enhance very much the user frendlness and thus the number of users of the pacage.current developments are expected to focus on extendng further functonaltes of the modelng, GUI nterface, and 3D modelnganmaton. References [1] DCAP Release 7, ESA Contract 7971/88/NL/JG, Alena, [2] R. Franco,M, L. Dumontel, S. Portglott & R. Venugopal, The Dynamcs and Control Analyss Pacage (DCAP) - A versatle tool for satellte control, ESA Bulletn, Nr. 87, August, ( )

18 [3] R. Franco et al, Enhanced Dynamcs and Control Analyss Pacage (DCAP), Proceedngs of ESA WPP-041, ESA Worshop on Spacecraft Gudance Navgaton and Control, September [4] Sngh, R.P., VanderVoort, R.J., and Lns, P.W., Dynamcs of Flexble Bodes n Tree Topology - A Computer Orented Approach, Journal of Gudance, Control and Dynamcs, Vol. 10, No. 5, September-October [5] Sngh, R.P. and Schubele, B., Computatonally Effcent Algorthm for Dynamcs of Mult-ln Mechansm, AAIA GN&C Conference, Boston, MA, August [6] Irons, B.M., A Frontal Soluton Program, Internatonal Journal of Numercal Methods n Engneerng, N. 2, pp. 5-32, [7] Nelan, P.E., Effcent Computer Smulaton of Moton of Mult-body Systems, PhD Dssertaton, Stanford Unversty, September [8] Kane, T.R., and Levnson, D.A., Dynamcs, Theory and Applcatons, McGraw-Hll, New Yor, [9] Kane, T.R., Lns, P.W., and Levnson, D.A., Spacecraft Dynamcs, McGraw- Hll, New Yor, [10] M. L. Dumontel, S. Portglott, R.Venugopal, DCAP: A Tool for Analyss and Smulaton of Mult-Body Systems, 45 th IAF Conference, Oslo, October [11] B. Tabarro, Leech C.M. and Y.I. Km, On the dynamcs of an axally movng beam, Journal of the Franln Insttute, 297(3): , March [12] S.K. Tadonda and H. Baruh, Dynamcs and Control of a Translatng Flexble Beam, Journal of Dynamc Systems, Measurement and Control, to appear. [13] Hppmann, G., An Algorthm for complant contact between complexly shaped surfaces n mult-body dynamcs, Proceedngs of the Internatonal Conference on Advances n Computatonal Multbody Dynamcs, Lsbon, Portugal, July 1-4, [14] D. Scacovell, S. Kryeno, G. Baldes, A. Threttle, R. Redondo & P. D. Resta, Vega Prototype 3D Smulaton Software wth Tme Varyng structural characterstcs, 5 th Inter. Conference on Space Launchers: Mssons, Control and Avoncs, Madrd, Span, November 25-27, [15] G. Baldes, Modellng Launch Vehcle Nozzle and TVC loop wth DCAP & Importng the Non-Lnear Dynamcs n Smuln/Matlab Envronment, report n Fulfllment of Master n Satelltes and Orbtng Platforms, Unversty La Sapenza, Rome, Italy

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng

More information

Finite Element Modelling of truss/cable structures

Finite Element Modelling of truss/cable structures Pet Schreurs Endhoven Unversty of echnology Department of Mechancal Engneerng Materals echnology November 3, 214 Fnte Element Modellng of truss/cable structures 1 Fnte Element Analyss of prestressed structures

More information

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1 P. Guterrez Physcs 5153 Classcal Mechancs D Alembert s Prncple and The Lagrangan 1 Introducton The prncple of vrtual work provdes a method of solvng problems of statc equlbrum wthout havng to consder the

More information

In this section is given an overview of the common elasticity models.

In this section is given an overview of the common elasticity models. Secton 4.1 4.1 Elastc Solds In ths secton s gven an overvew of the common elastcty models. 4.1.1 The Lnear Elastc Sold The classcal Lnear Elastc model, or Hooean model, has the followng lnear relatonshp

More information

Numerical Heat and Mass Transfer

Numerical Heat and Mass Transfer Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and

More information

Iterative General Dynamic Model for Serial-Link Manipulators

Iterative General Dynamic Model for Serial-Link Manipulators EEL6667: Knematcs, Dynamcs and Control of Robot Manpulators 1. Introducton Iteratve General Dynamc Model for Seral-Lnk Manpulators In ths set of notes, we are gong to develop a method for computng a general

More information

Professor Terje Haukaas University of British Columbia, Vancouver The Q4 Element

Professor Terje Haukaas University of British Columbia, Vancouver  The Q4 Element Professor Terje Haukaas Unversty of Brtsh Columba, ancouver www.nrsk.ubc.ca The Q Element Ths document consders fnte elements that carry load only n ther plane. These elements are sometmes referred to

More information

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look

More information

Structure and Drive Paul A. Jensen Copyright July 20, 2003

Structure and Drive Paul A. Jensen Copyright July 20, 2003 Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.

More information

829. An adaptive method for inertia force identification in cantilever under moving mass

829. An adaptive method for inertia force identification in cantilever under moving mass 89. An adaptve method for nerta force dentfcaton n cantlever under movng mass Qang Chen 1, Mnzhuo Wang, Hao Yan 3, Haonan Ye 4, Guola Yang 5 1,, 3, 4 Department of Control and System Engneerng, Nanng Unversty,

More information

Physics 5153 Classical Mechanics. Principle of Virtual Work-1

Physics 5153 Classical Mechanics. Principle of Virtual Work-1 P. Guterrez 1 Introducton Physcs 5153 Classcal Mechancs Prncple of Vrtual Work The frst varatonal prncple we encounter n mechancs s the prncple of vrtual work. It establshes the equlbrum condton of a mechancal

More information

Lecture 8 Modal Analysis

Lecture 8 Modal Analysis Lecture 8 Modal Analyss 16.0 Release Introducton to ANSYS Mechancal 1 2015 ANSYS, Inc. February 27, 2015 Chapter Overvew In ths chapter free vbraton as well as pre-stressed vbraton analyses n Mechancal

More information

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD Ákos Jósef Lengyel, István Ecsed Assstant Lecturer, Professor of Mechancs, Insttute of Appled Mechancs, Unversty of Mskolc, Mskolc-Egyetemváros,

More information

Physics 181. Particle Systems

Physics 181. Particle Systems Physcs 181 Partcle Systems Overvew In these notes we dscuss the varables approprate to the descrpton of systems of partcles, ther defntons, ther relatons, and ther conservatons laws. We consder a system

More information

MMA and GCMMA two methods for nonlinear optimization

MMA and GCMMA two methods for nonlinear optimization MMA and GCMMA two methods for nonlnear optmzaton Krster Svanberg Optmzaton and Systems Theory, KTH, Stockholm, Sweden. krlle@math.kth.se Ths note descrbes the algorthms used n the author s 2007 mplementatons

More information

Difference Equations

Difference Equations Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1

More information

Module 3: Element Properties Lecture 1: Natural Coordinates

Module 3: Element Properties Lecture 1: Natural Coordinates Module 3: Element Propertes Lecture : Natural Coordnates Natural coordnate system s bascally a local coordnate system whch allows the specfcaton of a pont wthn the element by a set of dmensonless numbers

More information

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

THE VIBRATIONS OF MOLECULES II THE CARBON DIOXIDE MOLECULE Student Instructions

THE VIBRATIONS OF MOLECULES II THE CARBON DIOXIDE MOLECULE Student Instructions THE VIBRATIONS OF MOLECULES II THE CARBON DIOXIDE MOLECULE Student Instructons by George Hardgrove Chemstry Department St. Olaf College Northfeld, MN 55057 hardgrov@lars.acc.stolaf.edu Copyrght George

More information

Irregular vibrations in multi-mass discrete-continuous systems torsionally deformed

Irregular vibrations in multi-mass discrete-continuous systems torsionally deformed (2) 4 48 Irregular vbratons n mult-mass dscrete-contnuous systems torsonally deformed Abstract In the paper rregular vbratons of dscrete-contnuous systems consstng of an arbtrary number rgd bodes connected

More information

Spin-rotation coupling of the angularly accelerated rigid body

Spin-rotation coupling of the angularly accelerated rigid body Spn-rotaton couplng of the angularly accelerated rgd body Loua Hassan Elzen Basher Khartoum, Sudan. Postal code:11123 E-mal: louaelzen@gmal.com November 1, 2017 All Rghts Reserved. Abstract Ths paper s

More information

An Algorithm to Solve the Inverse Kinematics Problem of a Robotic Manipulator Based on Rotation Vectors

An Algorithm to Solve the Inverse Kinematics Problem of a Robotic Manipulator Based on Rotation Vectors An Algorthm to Solve the Inverse Knematcs Problem of a Robotc Manpulator Based on Rotaton Vectors Mohamad Z. Al-az*, Mazn Z. Othman**, and Baker B. Al-Bahr* *AL-Nahran Unversty, Computer Eng. Dep., Baghdad,

More information

November 5, 2002 SE 180: Earthquake Engineering SE 180. Final Project

November 5, 2002 SE 180: Earthquake Engineering SE 180. Final Project SE 8 Fnal Project Story Shear Frame u m Gven: u m L L m L L EI ω ω Solve for m Story Bendng Beam u u m L m L Gven: m L L EI ω ω Solve for m 3 3 Story Shear Frame u 3 m 3 Gven: L 3 m m L L L 3 EI ω ω ω

More information

DUE: WEDS FEB 21ST 2018

DUE: WEDS FEB 21ST 2018 HOMEWORK # 1: FINITE DIFFERENCES IN ONE DIMENSION DUE: WEDS FEB 21ST 2018 1. Theory Beam bendng s a classcal engneerng analyss. The tradtonal soluton technque makes smplfyng assumptons such as a constant

More information

χ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body

χ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body Secton.. Moton.. The Materal Body and Moton hyscal materals n the real world are modeled usng an abstract mathematcal entty called a body. Ths body conssts of an nfnte number of materal partcles. Shown

More information

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle

More information

THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS OF A TELESCOPIC HYDRAULIC CYLINDER SUBJECTED TO EULER S LOAD

THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS OF A TELESCOPIC HYDRAULIC CYLINDER SUBJECTED TO EULER S LOAD Journal of Appled Mathematcs and Computatonal Mechancs 7, 6(3), 7- www.amcm.pcz.pl p-issn 99-9965 DOI:.75/jamcm.7.3. e-issn 353-588 THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS

More information

Modeling of Dynamic Systems

Modeling of Dynamic Systems Modelng of Dynamc Systems Ref: Control System Engneerng Norman Nse : Chapters & 3 Chapter objectves : Revew the Laplace transform Learn how to fnd a mathematcal model, called a transfer functon Learn how

More information

The equation of motion of a dynamical system is given by a set of differential equations. That is (1)

The equation of motion of a dynamical system is given by a set of differential equations. That is (1) Dynamcal Systems Many engneerng and natural systems are dynamcal systems. For example a pendulum s a dynamcal system. State l The state of the dynamcal system specfes t condtons. For a pendulum n the absence

More information

Chapter 12. Ordinary Differential Equation Boundary Value (BV) Problems

Chapter 12. Ordinary Differential Equation Boundary Value (BV) Problems Chapter. Ordnar Dfferental Equaton Boundar Value (BV) Problems In ths chapter we wll learn how to solve ODE boundar value problem. BV ODE s usuall gven wth x beng the ndependent space varable. p( x) q(

More information

Indeterminate pin-jointed frames (trusses)

Indeterminate pin-jointed frames (trusses) Indetermnate pn-jonted frames (trusses) Calculaton of member forces usng force method I. Statcal determnacy. The degree of freedom of any truss can be derved as: w= k d a =, where k s the number of all

More information

Grover s Algorithm + Quantum Zeno Effect + Vaidman

Grover s Algorithm + Quantum Zeno Effect + Vaidman Grover s Algorthm + Quantum Zeno Effect + Vadman CS 294-2 Bomb 10/12/04 Fall 2004 Lecture 11 Grover s algorthm Recall that Grover s algorthm for searchng over a space of sze wors as follows: consder the

More information

MEV442 Introduction to Robotics Module 2. Dr. Santhakumar Mohan Assistant Professor Mechanical Engineering National Institute of Technology Calicut

MEV442 Introduction to Robotics Module 2. Dr. Santhakumar Mohan Assistant Professor Mechanical Engineering National Institute of Technology Calicut MEV442 Introducton to Robotcs Module 2 Dr. Santhakumar Mohan Assstant Professor Mechancal Engneerng Natonal Insttute of Technology Calcut Jacobans: Veloctes and statc forces Introducton Notaton for tme-varyng

More information

Second Order Analysis

Second Order Analysis Second Order Analyss In the prevous classes we looked at a method that determnes the load correspondng to a state of bfurcaton equlbrum of a perfect frame by egenvalye analyss The system was assumed to

More information

Mathematical Preparations

Mathematical Preparations 1 Introducton Mathematcal Preparatons The theory of relatvty was developed to explan experments whch studed the propagaton of electromagnetc radaton n movng coordnate systems. Wthn expermental error the

More information

Study on Active Micro-vibration Isolation System with Linear Motor Actuator. Gong-yu PAN, Wen-yan GU and Dong LI

Study on Active Micro-vibration Isolation System with Linear Motor Actuator. Gong-yu PAN, Wen-yan GU and Dong LI 2017 2nd Internatonal Conference on Electrcal and Electroncs: echnques and Applcatons (EEA 2017) ISBN: 978-1-60595-416-5 Study on Actve Mcro-vbraton Isolaton System wth Lnear Motor Actuator Gong-yu PAN,

More information

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,

More information

The Finite Element Method

The Finite Element Method The Fnte Element Method GENERAL INTRODUCTION Read: Chapters 1 and 2 CONTENTS Engneerng and analyss Smulaton of a physcal process Examples mathematcal model development Approxmate solutons and methods of

More information

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number

More information

Lecture 12: Discrete Laplacian

Lecture 12: Discrete Laplacian Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly

More information

Δ x. u(x,t) Fig. Schematic view of elastic bar undergoing axial motions

Δ x. u(x,t) Fig. Schematic view of elastic bar undergoing axial motions ME67 - Handout 4 Vbratons of Contnuous Systems Axal vbratons of elastc bars The fgure shows a unform elastc bar of length and cross secton A. The bar materal propertes are ts densty ρ and elastc modulus

More information

Note 10. Modeling and Simulation of Dynamic Systems

Note 10. Modeling and Simulation of Dynamic Systems Lecture Notes of ME 475: Introducton to Mechatroncs Note 0 Modelng and Smulaton of Dynamc Systems Department of Mechancal Engneerng, Unversty Of Saskatchewan, 57 Campus Drve, Saskatoon, SK S7N 5A9, Canada

More information

coordinates. Then, the position vectors are described by

coordinates. Then, the position vectors are described by Revewng, what we have dscussed so far: Generalzed coordnates Any number of varables (say, n) suffcent to specfy the confguraton of the system at each nstant to tme (need not be the mnmum number). In general,

More information

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography CSc 6974 and ECSE 6966 Math. Tech. for Vson, Graphcs and Robotcs Lecture 21, Aprl 17, 2006 Estmatng A Plane Homography Overvew We contnue wth a dscusson of the major ssues, usng estmaton of plane projectve

More information

4DVAR, according to the name, is a four-dimensional variational method.

4DVAR, according to the name, is a four-dimensional variational method. 4D-Varatonal Data Assmlaton (4D-Var) 4DVAR, accordng to the name, s a four-dmensonal varatonal method. 4D-Var s actually a drect generalzaton of 3D-Var to handle observatons that are dstrbuted n tme. The

More information

EN40: Dynamics and Vibrations. Homework 7: Rigid Body Kinematics

EN40: Dynamics and Vibrations. Homework 7: Rigid Body Kinematics N40: ynamcs and Vbratons Homewor 7: Rgd Body Knematcs School of ngneerng Brown Unversty 1. In the fgure below, bar AB rotates counterclocwse at 4 rad/s. What are the angular veloctes of bars BC and C?.

More information

Physics 53. Rotational Motion 3. Sir, I have found you an argument, but I am not obliged to find you an understanding.

Physics 53. Rotational Motion 3. Sir, I have found you an argument, but I am not obliged to find you an understanding. Physcs 53 Rotatonal Moton 3 Sr, I have found you an argument, but I am not oblged to fnd you an understandng. Samuel Johnson Angular momentum Wth respect to rotatonal moton of a body, moment of nerta plays

More information

NUMERICAL DIFFERENTIATION

NUMERICAL DIFFERENTIATION NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the

More information

Lecture Note 3. Eshelby s Inclusion II

Lecture Note 3. Eshelby s Inclusion II ME340B Elastcty of Mcroscopc Structures Stanford Unversty Wnter 004 Lecture Note 3. Eshelby s Incluson II Chrs Wenberger and We Ca c All rghts reserved January 6, 004 Contents 1 Incluson energy n an nfnte

More information

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

More information

CHAPTER 14 GENERAL PERTURBATION THEORY

CHAPTER 14 GENERAL PERTURBATION THEORY CHAPTER 4 GENERAL PERTURBATION THEORY 4 Introducton A partcle n orbt around a pont mass or a sphercally symmetrc mass dstrbuton s movng n a gravtatonal potental of the form GM / r In ths potental t moves

More information

Inductance Calculation for Conductors of Arbitrary Shape

Inductance Calculation for Conductors of Arbitrary Shape CRYO/02/028 Aprl 5, 2002 Inductance Calculaton for Conductors of Arbtrary Shape L. Bottura Dstrbuton: Internal Summary In ths note we descrbe a method for the numercal calculaton of nductances among conductors

More information

PHYS 705: Classical Mechanics. Calculus of Variations II

PHYS 705: Classical Mechanics. Calculus of Variations II 1 PHYS 705: Classcal Mechancs Calculus of Varatons II 2 Calculus of Varatons: Generalzaton (no constrant yet) Suppose now that F depends on several dependent varables : We need to fnd such that has a statonary

More information

An Interactive Optimisation Tool for Allocation Problems

An Interactive Optimisation Tool for Allocation Problems An Interactve Optmsaton ool for Allocaton Problems Fredr Bonäs, Joam Westerlund and apo Westerlund Process Desgn Laboratory, Faculty of echnology, Åbo Aadem Unversty, uru 20500, Fnland hs paper presents

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng

More information

Uncertainty in measurements of power and energy on power networks

Uncertainty in measurements of power and energy on power networks Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:

More information

Week 9 Chapter 10 Section 1-5

Week 9 Chapter 10 Section 1-5 Week 9 Chapter 10 Secton 1-5 Rotaton Rgd Object A rgd object s one that s nondeformable The relatve locatons of all partcles makng up the object reman constant All real objects are deformable to some extent,

More information

ENGN 40 Dynamics and Vibrations Homework # 7 Due: Friday, April 15

ENGN 40 Dynamics and Vibrations Homework # 7 Due: Friday, April 15 NGN 40 ynamcs and Vbratons Homework # 7 ue: Frday, Aprl 15 1. Consder a concal hostng drum used n the mnng ndustry to host a mass up/down. A cable of dameter d has the mass connected at one end and s wound/unwound

More information

PHYS 705: Classical Mechanics. Newtonian Mechanics

PHYS 705: Classical Mechanics. Newtonian Mechanics 1 PHYS 705: Classcal Mechancs Newtonan Mechancs Quck Revew of Newtonan Mechancs Basc Descrpton: -An dealzed pont partcle or a system of pont partcles n an nertal reference frame [Rgd bodes (ch. 5 later)]

More information

First Law: A body at rest remains at rest, a body in motion continues to move at constant velocity, unless acted upon by an external force.

First Law: A body at rest remains at rest, a body in motion continues to move at constant velocity, unless acted upon by an external force. Secton 1. Dynamcs (Newton s Laws of Moton) Two approaches: 1) Gven all the forces actng on a body, predct the subsequent (changes n) moton. 2) Gven the (changes n) moton of a body, nfer what forces act

More information

One-sided finite-difference approximations suitable for use with Richardson extrapolation

One-sided finite-difference approximations suitable for use with Richardson extrapolation Journal of Computatonal Physcs 219 (2006) 13 20 Short note One-sded fnte-dfference approxmatons sutable for use wth Rchardson extrapolaton Kumar Rahul, S.N. Bhattacharyya * Department of Mechancal Engneerng,

More information

Δ x. u(x,t) Fig. Schematic view of elastic bar undergoing axial motions

Δ x. u(x,t) Fig. Schematic view of elastic bar undergoing axial motions ME67 - Handout 4 Vbratons of Contnuous Systems Axal vbratons of elastc bars The fgure shows a unform elastc bar of length and cross secton A. The bar materal propertes are ts densty ρ and elastc modulus

More information

Suppose that there s a measured wndow of data fff k () ; :::; ff k g of a sze w, measured dscretely wth varable dscretzaton step. It s convenent to pl

Suppose that there s a measured wndow of data fff k () ; :::; ff k g of a sze w, measured dscretely wth varable dscretzaton step. It s convenent to pl RECURSIVE SPLINE INTERPOLATION METHOD FOR REAL TIME ENGINE CONTROL APPLICATIONS A. Stotsky Volvo Car Corporaton Engne Desgn and Development Dept. 97542, HA1N, SE- 405 31 Gothenburg Sweden. Emal: astotsky@volvocars.com

More information

CHAPTER 6. LAGRANGE S EQUATIONS (Analytical Mechanics)

CHAPTER 6. LAGRANGE S EQUATIONS (Analytical Mechanics) CHAPTER 6 LAGRANGE S EQUATIONS (Analytcal Mechancs) 1 Ex. 1: Consder a partcle movng on a fxed horzontal surface. r P Let, be the poston and F be the total force on the partcle. The FBD s: -mgk F 1 x O

More information

EN40: Dynamics and Vibrations. Homework 4: Work, Energy and Linear Momentum Due Friday March 1 st

EN40: Dynamics and Vibrations. Homework 4: Work, Energy and Linear Momentum Due Friday March 1 st EN40: Dynamcs and bratons Homework 4: Work, Energy and Lnear Momentum Due Frday March 1 st School of Engneerng Brown Unversty 1. The fgure (from ths publcaton) shows the energy per unt area requred to

More information

LINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity

LINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity LINEAR REGRESSION ANALYSIS MODULE IX Lecture - 30 Multcollnearty Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur 2 Remedes for multcollnearty Varous technques have

More information

Kinematics of Fluids. Lecture 16. (Refer the text book CONTINUUM MECHANICS by GEORGE E. MASE, Schaum s Outlines) 17/02/2017

Kinematics of Fluids. Lecture 16. (Refer the text book CONTINUUM MECHANICS by GEORGE E. MASE, Schaum s Outlines) 17/02/2017 17/0/017 Lecture 16 (Refer the text boo CONTINUUM MECHANICS by GEORGE E. MASE, Schaum s Outlnes) Knematcs of Fluds Last class, we started dscussng about the nematcs of fluds. Recall the Lagrangan and Euleran

More information

EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES

EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES Manuel J. C. Mnhoto Polytechnc Insttute of Bragança, Bragança, Portugal E-mal: mnhoto@pb.pt Paulo A. A. Perera and Jorge

More information

Please initial the statement below to show that you have read it

Please initial the statement below to show that you have read it EN0: Structural nalyss Exam I Wednesday, March 2, 2005 Dvson of Engneerng rown Unversty NME: General Instructons No collaboraton of any nd s permtted on ths examnaton. You may consult your own wrtten lecture

More information

Time-Varying Systems and Computations Lecture 6

Time-Varying Systems and Computations Lecture 6 Tme-Varyng Systems and Computatons Lecture 6 Klaus Depold 14. Januar 2014 The Kalman Flter The Kalman estmaton flter attempts to estmate the actual state of an unknown dscrete dynamcal system, gven nosy

More information

Some Comments on Accelerating Convergence of Iterative Sequences Using Direct Inversion of the Iterative Subspace (DIIS)

Some Comments on Accelerating Convergence of Iterative Sequences Using Direct Inversion of the Iterative Subspace (DIIS) Some Comments on Acceleratng Convergence of Iteratve Sequences Usng Drect Inverson of the Iteratve Subspace (DIIS) C. Davd Sherrll School of Chemstry and Bochemstry Georga Insttute of Technology May 1998

More information

11. Dynamics in Rotating Frames of Reference

11. Dynamics in Rotating Frames of Reference Unversty of Rhode Island DgtalCommons@URI Classcal Dynamcs Physcs Course Materals 2015 11. Dynamcs n Rotatng Frames of Reference Gerhard Müller Unversty of Rhode Island, gmuller@ur.edu Creatve Commons

More information

The Feynman path integral

The Feynman path integral The Feynman path ntegral Aprl 3, 205 Hesenberg and Schrödnger pctures The Schrödnger wave functon places the tme dependence of a physcal system n the state, ψ, t, where the state s a vector n Hlbert space

More information

APPENDIX F A DISPLACEMENT-BASED BEAM ELEMENT WITH SHEAR DEFORMATIONS. Never use a Cubic Function Approximation for a Non-Prismatic Beam

APPENDIX F A DISPLACEMENT-BASED BEAM ELEMENT WITH SHEAR DEFORMATIONS. Never use a Cubic Function Approximation for a Non-Prismatic Beam APPENDIX F A DISPACEMENT-BASED BEAM EEMENT WITH SHEAR DEFORMATIONS Never use a Cubc Functon Approxmaton for a Non-Prsmatc Beam F. INTRODUCTION { XE "Shearng Deformatons" }In ths appendx a unque development

More information

Statistical Energy Analysis for High Frequency Acoustic Analysis with LS-DYNA

Statistical Energy Analysis for High Frequency Acoustic Analysis with LS-DYNA 14 th Internatonal Users Conference Sesson: ALE-FSI Statstcal Energy Analyss for Hgh Frequency Acoustc Analyss wth Zhe Cu 1, Yun Huang 1, Mhamed Soul 2, Tayeb Zeguar 3 1 Lvermore Software Technology Corporaton

More information

FTCS Solution to the Heat Equation

FTCS Solution to the Heat Equation FTCS Soluton to the Heat Equaton ME 448/548 Notes Gerald Recktenwald Portland State Unversty Department of Mechancal Engneerng gerry@pdx.edu ME 448/548: FTCS Soluton to the Heat Equaton Overvew 1. Use

More information

A NUMERICAL COMPARISON OF LANGRANGE AND KANE S METHODS OF AN ARM SEGMENT

A NUMERICAL COMPARISON OF LANGRANGE AND KANE S METHODS OF AN ARM SEGMENT Internatonal Conference Mathematcal and Computatonal ology 0 Internatonal Journal of Modern Physcs: Conference Seres Vol. 9 0 68 75 World Scentfc Publshng Company DOI: 0.4/S009450059 A NUMERICAL COMPARISON

More information

Modeling and Simulation of a Hexapod Machine Tool for the Dynamic Stability Analysis of Milling Processes. C. Henninger, P.

Modeling and Simulation of a Hexapod Machine Tool for the Dynamic Stability Analysis of Milling Processes. C. Henninger, P. Smpack User Meetng 27 Modelng and Smulaton of a Heapod Machne Tool for the Dynamc Stablty Analyss of Mllng Processes C. Hennnger, P. Eberhard Insttute of Engneerng project funded by the DFG wthn the framework

More information

More metrics on cartesian products

More metrics on cartesian products More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of

More information

1 Matrix representations of canonical matrices

1 Matrix representations of canonical matrices 1 Matrx representatons of canoncal matrces 2-d rotaton around the orgn: ( ) cos θ sn θ R 0 = sn θ cos θ 3-d rotaton around the x-axs: R x = 1 0 0 0 cos θ sn θ 0 sn θ cos θ 3-d rotaton around the y-axs:

More information

Simultaneous Optimization of Berth Allocation, Quay Crane Assignment and Quay Crane Scheduling Problems in Container Terminals

Simultaneous Optimization of Berth Allocation, Quay Crane Assignment and Quay Crane Scheduling Problems in Container Terminals Smultaneous Optmzaton of Berth Allocaton, Quay Crane Assgnment and Quay Crane Schedulng Problems n Contaner Termnals Necat Aras, Yavuz Türkoğulları, Z. Caner Taşkın, Kuban Altınel Abstract In ths work,

More information

Week 11: Chapter 11. The Vector Product. The Vector Product Defined. The Vector Product and Torque. More About the Vector Product

Week 11: Chapter 11. The Vector Product. The Vector Product Defined. The Vector Product and Torque. More About the Vector Product The Vector Product Week 11: Chapter 11 Angular Momentum There are nstances where the product of two vectors s another vector Earler we saw where the product of two vectors was a scalar Ths was called the

More information

Some modelling aspects for the Matlab implementation of MMA

Some modelling aspects for the Matlab implementation of MMA Some modellng aspects for the Matlab mplementaton of MMA Krster Svanberg krlle@math.kth.se Optmzaton and Systems Theory Department of Mathematcs KTH, SE 10044 Stockholm September 2004 1. Consdered optmzaton

More information

Kernel Methods and SVMs Extension

Kernel Methods and SVMs Extension Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general

More information

SIO 224. m(r) =(ρ(r),k s (r),µ(r))

SIO 224. m(r) =(ρ(r),k s (r),µ(r)) SIO 224 1. A bref look at resoluton analyss Here s some background for the Masters and Gubbns resoluton paper. Global Earth models are usually found teratvely by assumng a startng model and fndng small

More information

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons

More information

Lie Group Formulation of Articulated Rigid Body Dynamics

Lie Group Formulation of Articulated Rigid Body Dynamics Le Group Formulaton of Artculated Rgd Body Dynamcs Junggon Km 11/9/2012, Ver 1.01 Abstract It has been usual n most old-style text books for dynamcs to treat the formulas descrbng lnearor translatonal

More information

Technical Report TR05

Technical Report TR05 Techncal Report TR05 An Introducton to the Floatng Frame of Reference Formulaton for Small Deformaton n Flexble Multbody Dynamcs Antono Recuero and Dan Negrut May 11, 2016 Abstract Ths techncal report

More information

Fundamental loop-current method using virtual voltage sources technique for special cases

Fundamental loop-current method using virtual voltage sources technique for special cases Fundamental loop-current method usng vrtual voltage sources technque for specal cases George E. Chatzaraks, 1 Marna D. Tortorel 1 and Anastasos D. Tzolas 1 Electrcal and Electroncs Engneerng Departments,

More information

NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS

NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS IJRRAS 8 (3 September 011 www.arpapress.com/volumes/vol8issue3/ijrras_8_3_08.pdf NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS H.O. Bakodah Dept. of Mathematc

More information

The classical spin-rotation coupling

The classical spin-rotation coupling LOUAI H. ELZEIN 2018 All Rghts Reserved The classcal spn-rotaton couplng Loua Hassan Elzen Basher Khartoum, Sudan. Postal code:11123 louaelzen@gmal.com Abstract Ths paper s prepared to show that a rgd

More information

Linear Approximation with Regularization and Moving Least Squares

Linear Approximation with Regularization and Moving Least Squares Lnear Approxmaton wth Regularzaton and Movng Least Squares Igor Grešovn May 007 Revson 4.6 (Revson : March 004). 5 4 3 0.5 3 3.5 4 Contents: Lnear Fttng...4. Weghted Least Squares n Functon Approxmaton...

More information

Chapter - 2. Distribution System Power Flow Analysis

Chapter - 2. Distribution System Power Flow Analysis Chapter - 2 Dstrbuton System Power Flow Analyss CHAPTER - 2 Radal Dstrbuton System Load Flow 2.1 Introducton Load flow s an mportant tool [66] for analyzng electrcal power system network performance. Load

More information

Convexity preserving interpolation by splines of arbitrary degree

Convexity preserving interpolation by splines of arbitrary degree Computer Scence Journal of Moldova, vol.18, no.1(52), 2010 Convexty preservng nterpolaton by splnes of arbtrary degree Igor Verlan Abstract In the present paper an algorthm of C 2 nterpolaton of dscrete

More information

1 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations

1 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations Physcs 171/271 -Davd Klenfeld - Fall 2005 (revsed Wnter 2011) 1 Dervaton of Rate Equatons from Sngle-Cell Conductance (Hodgkn-Huxley-lke) Equatons We consder a network of many neurons, each of whch obeys

More information

Chapter Eight. Review and Summary. Two methods in solid mechanics ---- vectorial methods and energy methods or variational methods

Chapter Eight. Review and Summary. Two methods in solid mechanics ---- vectorial methods and energy methods or variational methods Chapter Eght Energy Method 8. Introducton 8. Stran energy expressons 8.3 Prncpal of statonary potental energy; several degrees of freedom ------ Castglano s frst theorem ---- Examples 8.4 Prncpal of statonary

More information

Bézier curves. Michael S. Floater. September 10, These notes provide an introduction to Bézier curves. i=0

Bézier curves. Michael S. Floater. September 10, These notes provide an introduction to Bézier curves. i=0 Bézer curves Mchael S. Floater September 1, 215 These notes provde an ntroducton to Bézer curves. 1 Bernsten polynomals Recall that a real polynomal of a real varable x R, wth degree n, s a functon of

More information

Composite Hypotheses testing

Composite Hypotheses testing Composte ypotheses testng In many hypothess testng problems there are many possble dstrbutons that can occur under each of the hypotheses. The output of the source s a set of parameters (ponts n a parameter

More information

Constitutive Modelling of Superplastic AA-5083

Constitutive Modelling of Superplastic AA-5083 TECHNISCHE MECHANIK, 3, -5, (01, 1-6 submtted: September 19, 011 Consttutve Modellng of Superplastc AA-5083 G. Gulano In ths study a fast procedure for determnng the constants of superplastc 5083 Al alloy

More information

DO NOT DO HOMEWORK UNTIL IT IS ASSIGNED. THE ASSIGNMENTS MAY CHANGE UNTIL ANNOUNCED.

DO NOT DO HOMEWORK UNTIL IT IS ASSIGNED. THE ASSIGNMENTS MAY CHANGE UNTIL ANNOUNCED. EE 539 Homeworks Sprng 08 Updated: Tuesday, Aprl 7, 08 DO NOT DO HOMEWORK UNTIL IT IS ASSIGNED. THE ASSIGNMENTS MAY CHANGE UNTIL ANNOUNCED. For full credt, show all work. Some problems requre hand calculatons.

More information