VSS CONTROL OF STRIP STEERING FOR HOT ROLLING MILLS. M.Okada, K.Murayama, Y.Anabuki, Y.Hayashi

Size: px
Start display at page:

Download "VSS CONTROL OF STRIP STEERING FOR HOT ROLLING MILLS. M.Okada, K.Murayama, Y.Anabuki, Y.Hayashi"

Transcription

1 V ONTROL OF TRIP TEERING FOR OT ROLLING MILL M.Okd.Murym Y.Anbuki Y.yhi Wet Jpn Work (urhiki Ditrict) JFE teel orportion wkidori -chome Mizuhim urhiki 7-85 Jpn Abtrct: trip teering i one of the mot eriou problem in the finihing mill in the hot trip rolling proce. To improve teering control trip teering control ytem which i bed on liding mode control nd ue teering oberver w deigned nd uccefully pplied to n ctul plnt. opyright 5 IFA eyword: Vrible-tructure ytem liding-mode control oberver teel indutry utomtic control metl. INTRODUTION In the hot trip rolling proce in the teel indutry heted lb re rolled to the required trip thickne nd width. From the viewpoint of improved productivity nd roll conumption trip teering i one of the mot eriou problem in the finihing rolling proce it cue til pinch. Prllel mill modulu control which i one type of teering control h been employed to prevent til pinch. Thi method i bed on proportionl control to eliminte force differentil nd chieve levelling movement but neverthele h certin inherent nd prcticl didvntge. To improve teering control new teering control ytem bed on liding mode control uing teering oberver w deigned nd uccefully pplied to n ctul plnt. Thi pper firt preent the concept of prllel mill modulu control. The new teering control ytem bed on liding mode control (M) uing teering oberver i then decribed. Experimentl reult obtined with commercil mill re lo dicued.. PROBLEM OF ONVENTIONAL ONTROL teering refer to lterl movement of the trip during rolling nd i defined by the ditnce between the trip center nd roll center. Fig. how n exmple of the teering phenomenon. In thi ce difference in the reduction rtio t the two ide of the trip occur firt cuing difference in the entry trip velocity. The trip then devite towrd the ide with the mller reduction nd the roll gp incree on the ide where the trip h moved. A reult the difference in the reduction rte continue to incree nd the trip move to the ide with mller teering Roll center trip center Fig. teering phenomenon

2 P Roll center α u u P b l 6 l b F l R h k f h b 6 l P teering h trip center P : rolling rod difference u : mnipulted roll gp difference α : contr ol gin : mill modulu Fig. oncept of prllel mill modulu control - P l ζv b Fig. 4 Block digrm of teering growing model reduction t n ccelerting rte. pecificlly if teering once occur it rte of incree i pproximtely proportionl to the econd power. Prllel mill modulu control i conventionl control method propoed by imur et l.(983). Fig. how the concept. The incree in the roll gp cued by the difference in the rolling lod i cncelled preventing further incree in the difference in the reduction rtio t the two ide. owever due to the initil difference in the reduction rtio the trip continue to move to the ide with mller reduction. Moreover prcticl didvntge thi method require high repone nd lrge movement of the ctutor nd the lrge movement cn cue ter in the trip til end. An pproch bed on imple P-control uing teering enor with no dely w lo propoed by uwno et l. (986) but in order to detect teering with dely the enor mut be intlled in hrh environment mking it difficult to mintin dequte ccurcy. A tte feedbck compentor uing tte oberver w propoed by Okmur et l. (996). owever in hot rolling procee the dely in the tte oberver cnnot be ignored. 3. DEVELOPMENT OF NEW ONTROL METOD 3. oncept of liding mode control u- u yper-plne Fig. 3 oncept of liding mode control Fig.3 how the concept of liding mode control. liding mode control i type of vrible-tructure control (V) which cue ytem tte to converge on predefined hyper-plne by frequent witching of the ytem tructure. Due to the liding motion it i robut with repect to prmeter uncertinty nd externl diturbnce (Utkin 977) (Derlo et l. 988). 3. Modelling of teering A teering growing model w dicued by Nkjim et l. (98). Fig. 4 how block digrm of the teering model where i trip teering i initil trip teering ζ i contnt which depend on rolling condition v i the entry trip velocity i the Lplcin opertor P i the totl rolling lod b i the trip width l i the ditnce between bering l R i the roll fce length h i the exit trip thickne i the entry trip thickne i the mill houing modulu F i the modulu between the work roll nd the bckup roll k f i the modulu between the work roll nd the trip in the roll bite h i the exit trip wedge i the entry trip wedge P i the rolling lod difference nd i the roll gp difference. From the block digrm the following three eqution re obtined: 6l b b h h b P k f h F l l R b P P P P h y 6 l h l ζv && h b h From Eq. () nd () Qin h Q () (). (3) 6 P b (4) y b ( Q ) l Q

3 where Q in (5) Q (6) h b b (7) k f F l 3 R l b b. (8) l 3 l F R Next from Eq. (3) nd (4) Pζv ζv y& y b h Q hl Q & (9) where ζ v Qin y b & h Q. () d ere d cn be hndled diturbnce becue nd re exogenou input. The model of the hydrulic gp control device i expreed u () T where T i the time contnt of the gp control device i the input to the device nd i the initil roll gp difference. Therefore the tte pce eqution of the plnt cn be expreed follow: x & Ax Bu Ed () y x (3) where [ y & ] T x [ && & ] T d A T B E e [ ] 3 T T T d e 3 Pζv b h Q ζv hl Q ζ v Qin. (4) b h Q 3.3 Deign of teering oberver To obtin repone teering hould be clculted directly. From Eq. () nd (4) y d l Q P ( ) Q diturbnce Plnt P LPF Oberver P (5) b Q d 6l P ( ) Q b Qin (6) P ( ) Q 6 Becue i n exogenou input d i ignored to implify the oberver. In the ctul plnt becue the put of the lod enor include ome noie fctor low-p filter (LPF) i intlled hown in Fig.5. Fig.6 how the reult of imultion which w performed to confirm the ppropritene of ignoring nd intlling the LPF. The reult howed tht ignoring nd uing n LPF i reonble method of oberving teering. cl Fig. 5 Block digrm of teering oberver teering(mm) cl Time(ec) Fig. 6 imultion reult of teering oberver

4 3.4 Deign trtegy of liding ector Becue the repone of the hydrulic roll gp device i ufficiently high in generl hot rolling procee the lg of the hydrulic gp control device cn be ignored in controller deign. Therefore the tte pce eqution ued in deigning the controller were follow: & (6) x Ax B y x (7) where [ y & ] T x A B [ ] T 3 [ ] Pζ v b h Q ζ v 3 hl. (8) Q The liding ectori defined x (9) c. () [ ] A liding ector deign trtegy bed on pole ignment w propoed b. A. Woodhm et l. (993). When ytem tte re converging on the ector they tify x. () ubtituting () into (6) the pole of the ytem become p () c where p i the ytem pole. From the bove ny pole p cn be obtined by chooing prmeter c. 3.5 Deign of V controller A V controller which converge the teering tte on the ector w introduced. Thi method i bed on the eventul liding mode witching cheme (J. Y. ung 993). tte pce eqution (6)-() re conidered in the deign of the V controller. The input i umed to be u (3) ( B) Ax k where k i control gin. To converge on the ector hould converge to zero. Therefore the following Lypunov function for i conidered: V. (4) The derivtive of the Lypunov function i V. (5) Ax B u ubtituting (3) into (5) the condition of the exiting liding mode i V & (6) kb < i.e. k > (7) becue from eqution (8) nd () B >. (8) 3 The V control ytem mut frequently witch the ytem tructure follow: u liding mode controller diturbnce Plnt P LPF Oberver ( B ) Ax k >. (9) ( B) Ax k < Becue the witching frequency hould theoreticlly be infinite inherent chttering phenomen exit in V control ytem due to the ctul finite witching frequency or witching dely. To reduce thee chttering phenomen turted function/ ( ) i ubtituted for/ Therefore the input i derived follow: Fig. 7 Block digrm of teering control ytem cl

5 () diturbnce: With control onventionl control (b) diturbnce:. With control onventionl control (c) diturbnce:. With control onventionl control Fig. 8 imultion reult ( Low crbon 3.mm 3mm ) u ( B ) Ax k. (3) 3 y c 3 y& k Fig. 7 how the block digrm of the teering control ytem. 4. imultion reult 4. REULT The reult of imultion for comprion with conventionl control re hown in Fig. 8. ere it w umed tht the diturbnce were the initil trip teering ( mm) the entry trip wedge (.mm) nd the roll gp difference (.mm). The imultion w performed bed on the condition tht the mteril i low crbon teel the trip dimenion re 3.mm*3mm the gin in conventionl control re the me thoe ctully ued nd the ytem pole i. The imultion reult howed tht when the new control method i compred with conventionl control teering devition i reduced nd the control ytem i more tble. Furthermore the ytem input u i lo reduced by erly put from the controller nd chttering phenomen do not occur. 4. Prcticl reult The new teering control ytem w pplied to the til end of trip in the finihing mill t Wet Jpn Work (urhiki Ditrict). The experimentl reult obtined with thi commercil mill re hown in Fig. 9 Fig. nd Fig.. In thi ce the control gin re the me thoe in the imultion nd the mteril i low crbon teel (3.mm*mm) from the me lot. Fig. 9 nd Fig. how exmple of conventionl control reult nd reult with the new control method repectively. From thee reult teering devition nd the rolling lod difference re reduced nd the ytem input i lo reduced in the imultion reult. Fig. how the verge of the bolute vlue of teering in ech ce. The new teering control

6 method i more tble nd trip teering h been improved by more thn 5%. 5.ONLUION Thi pper decribed newly-developed V control ytem for trip teering in hot rolling mill which i bed on liding mode control uing teering oberver. The experimentl reult how tht the new control ytem i uperior to the conventionl ytem. teering onventionl control 5.mm Fig. Averge of bolute vlue of teering ( Low crbon 3.mm mm n ) REFERENE P onventionl control t t t3 Fig. 9 Exmple of experimentl reult uing the conventionl control ( Low crbon 3.mm mm).5mm.5mm.ec 5.ton t: Previou econd tnd metl off t: Previou tnd metl off t3: metl off 5.mm.5mm.5mm Decrlo R. A. Zk.. nd Mtthew G. P. (988). Vrible tructure control of nonliner multi-vrible ytem Proceeding of IEEE ung J. Y. (993). Vrible tructure control: A urvey IEEE Trn. Ind. Electron 4 -. imur T. nd Tgw. M. (983). Automtic teering control of trip rolling mill itchi Review uwno. nd Tkhhi N. (986). enor-type utomtic teering control ytem for rolling mill t report- Ihikwjim-rim Engineering Review Nkjim. jiwr T. imur T. ikum T. Mtumoto. nd Tgw M. (98). Automtic ide-wlk control in hot trip mill The 98 Jpnee pring onf. For the Technology of Plticity Okmur Y. nd ohino I. (996). tte feedbck control of the trip teering for luminum hot rolling mill 3 T World ongre of IFA 7b Utkin V. I. (977). Vrible tructure ytem with liding mode IEEE Trn. Automt. ontr Woodhm. A. nd Zinober A..I. (993) Int.J. ontrol ec P onventionl control 5.ton t t t3 t: Previou econd tnd metl off t: Previou tnd metl off t3: metl off Fig. Exmple of experimentl reult uing the new control ( Low crbon 3.mm mm)

CONTROL SYSTEMS LABORATORY ECE311 LAB 3: Control Design Using the Root Locus

CONTROL SYSTEMS LABORATORY ECE311 LAB 3: Control Design Using the Root Locus CONTROL SYSTEMS LABORATORY ECE311 LAB 3: Control Deign Uing the Root Locu 1 Purpoe The purpoe of thi lbortory i to deign cruie control ytem for cr uing the root locu. 2 Introduction Diturbnce D( ) = d

More information

CHOOSING THE NUMBER OF MODELS OF THE REFERENCE MODEL USING MULTIPLE MODELS ADAPTIVE CONTROL SYSTEM

CHOOSING THE NUMBER OF MODELS OF THE REFERENCE MODEL USING MULTIPLE MODELS ADAPTIVE CONTROL SYSTEM Interntionl Crpthin Control Conference ICCC 00 ALENOVICE, CZEC REPUBLIC y 7-30, 00 COOSING TE NUBER OF ODELS OF TE REFERENCE ODEL USING ULTIPLE ODELS ADAPTIVE CONTROL SYSTE rin BICĂ, Victor-Vleriu PATRICIU

More information

LINKÖPINGS TEKNISKA HÖGSKOLA. Fluid and Mechanical Engineering Systems

LINKÖPINGS TEKNISKA HÖGSKOLA. Fluid and Mechanical Engineering Systems (6) Fluid nd Mechnicl Engineering Sytem 008086. ) Cvittion in orifice In hydrulic ytem cvittion occur downtrem orifice with high preure drop. For n orifice with contnt inlet preure of p = 00 br cvittion

More information

TP 10:Importance Sampling-The Metropolis Algorithm-The Ising Model-The Jackknife Method

TP 10:Importance Sampling-The Metropolis Algorithm-The Ising Model-The Jackknife Method TP 0:Importnce Smpling-The Metropoli Algorithm-The Iing Model-The Jckknife Method June, 200 The Cnonicl Enemble We conider phyicl ytem which re in therml contct with n environment. The environment i uully

More information

positive definite (symmetric with positive eigenvalues) positive semi definite (symmetric with nonnegative eigenvalues)

positive definite (symmetric with positive eigenvalues) positive semi definite (symmetric with nonnegative eigenvalues) Chter Liner Qudrtic Regultor Problem inimize the cot function J given by J x' Qx u' Ru dt R > Q oitive definite ymmetric with oitive eigenvlue oitive emi definite ymmetric with nonnegtive eigenvlue ubject

More information

Transfer Functions. Chapter 5. Transfer Functions. Derivation of a Transfer Function. Transfer Functions

Transfer Functions. Chapter 5. Transfer Functions. Derivation of a Transfer Function. Transfer Functions 5/4/6 PM : Trnfer Function Chpter 5 Trnfer Function Defined G() = Y()/U() preent normlized model of proce, i.e., cn be ued with n input. Y() nd U() re both written in devition vrible form. The form of

More information

2. The Laplace Transform

2. The Laplace Transform . The Lplce Trnform. Review of Lplce Trnform Theory Pierre Simon Mrqui de Lplce (749-87 French tronomer, mthemticin nd politicin, Miniter of Interior for 6 wee under Npoleon, Preident of Acdemie Frncie

More information

Math 2142 Homework 2 Solutions. Problem 1. Prove the following formulas for Laplace transforms for s > 0. a s 2 + a 2 L{cos at} = e st.

Math 2142 Homework 2 Solutions. Problem 1. Prove the following formulas for Laplace transforms for s > 0. a s 2 + a 2 L{cos at} = e st. Mth 2142 Homework 2 Solution Problem 1. Prove the following formul for Lplce trnform for >. L{1} = 1 L{t} = 1 2 L{in t} = 2 + 2 L{co t} = 2 + 2 Solution. For the firt Lplce trnform, we need to clculte:

More information

APPENDIX 2 LAPLACE TRANSFORMS

APPENDIX 2 LAPLACE TRANSFORMS APPENDIX LAPLACE TRANSFORMS Thi ppendix preent hort introduction to Lplce trnform, the bic tool ued in nlyzing continuou ytem in the frequency domin. The Lplce trnform convert liner ordinry differentil

More information

Artificial Intelligence Markov Decision Problems

Artificial Intelligence Markov Decision Problems rtificil Intelligence Mrkov eciion Problem ilon - briefly mentioned in hpter Ruell nd orvig - hpter 7 Mrkov eciion Problem; pge of Mrkov eciion Problem; pge of exmple: probbilitic blockworld ction outcome

More information

20.2. The Transform and its Inverse. Introduction. Prerequisites. Learning Outcomes

20.2. The Transform and its Inverse. Introduction. Prerequisites. Learning Outcomes The Trnform nd it Invere 2.2 Introduction In thi Section we formlly introduce the Lplce trnform. The trnform i only pplied to cul function which were introduced in Section 2.1. We find the Lplce trnform

More information

STABILITY and Routh-Hurwitz Stability Criterion

STABILITY and Routh-Hurwitz Stability Criterion Krdeniz Technicl Univerity Deprtment of Electricl nd Electronic Engineering 6080 Trbzon, Turkey Chpter 8- nd Routh-Hurwitz Stbility Criterion Bu der notlrı dece bu deri ln öğrencilerin kullnımın çık olup,

More information

4-4 E-field Calculations using Coulomb s Law

4-4 E-field Calculations using Coulomb s Law 1/11/5 ection_4_4_e-field_clcultion_uing_coulomb_lw_empty.doc 1/1 4-4 E-field Clcultion uing Coulomb Lw Reding Aignment: pp. 9-98 Specificlly: 1. HO: The Uniform, Infinite Line Chrge. HO: The Uniform Dik

More information

SPACE VECTOR PULSE- WIDTH-MODULATED (SV-PWM) INVERTERS

SPACE VECTOR PULSE- WIDTH-MODULATED (SV-PWM) INVERTERS CHAPTER 7 SPACE VECTOR PULSE- WIDTH-MODULATED (SV-PWM) INVERTERS 7-1 INTRODUCTION In Chpter 5, we briefly icue current-regulte PWM inverter uing current-hyterei control, in which the witching frequency

More information

PHYSICS 211 MIDTERM I 22 October 2003

PHYSICS 211 MIDTERM I 22 October 2003 PHYSICS MIDTERM I October 3 Exm i cloed book, cloed note. Ue onl our formul heet. Write ll work nd nwer in exm booklet. The bck of pge will not be grded unle ou o requet on the front of the pge. Show ll

More information

1.2. Linear Variable Coefficient Equations. y + b "! = a y + b " Remark: The case b = 0 and a non-constant can be solved with the same idea as above.

1.2. Linear Variable Coefficient Equations. y + b ! = a y + b  Remark: The case b = 0 and a non-constant can be solved with the same idea as above. 1 12 Liner Vrible Coefficient Equtions Section Objective(s): Review: Constnt Coefficient Equtions Solving Vrible Coefficient Equtions The Integrting Fctor Method The Bernoulli Eqution 121 Review: Constnt

More information

Low-order simultaneous stabilization of linear bicycle models at different forward speeds

Low-order simultaneous stabilization of linear bicycle models at different forward speeds 203 Americn Control Conference (ACC) Whington, DC, USA, June 7-9, 203 Low-order imultneou tbiliztion of liner bicycle model t different forwrd peed A. N. Gündeş nd A. Nnngud 2 Abtrct Liner model of bicycle

More information

Maximum Transmission Through Slits in Adjacent Parallel Conducting Plates

Maximum Transmission Through Slits in Adjacent Parallel Conducting Plates Mimum Trnmiion Through Slit in djcent rllel Conducting lte Jong-Ig Lee wn-yong Jung 2 Young-Soon Lee 3 nd Young-Ki Cho 2 Deprtment of Electronic Eng Dongeo Univ Bun 67-76 Kore E-mil : leeji@dongeockr 2

More information

ARCHIVUM MATHEMATICUM (BRNO) Tomus 47 (2011), Kristína Rostás

ARCHIVUM MATHEMATICUM (BRNO) Tomus 47 (2011), Kristína Rostás ARCHIVUM MAHEMAICUM (BRNO) omu 47 (20), 23 33 MINIMAL AND MAXIMAL SOLUIONS OF FOURH ORDER IERAED DIFFERENIAL EQUAIONS WIH SINGULAR NONLINEARIY Kritín Rotá Abtrct. In thi pper we re concerned with ufficient

More information

Reinforcement learning

Reinforcement learning Reinforcement lerning Regulr MDP Given: Trnition model P Rewrd function R Find: Policy π Reinforcement lerning Trnition model nd rewrd function initilly unknown Still need to find the right policy Lern

More information

Wind-Induced Phenomenon in a Closed Water Area with Floating-Leaved Plant

Wind-Induced Phenomenon in a Closed Water Area with Floating-Leaved Plant Interntionl Journl of Environmentl nd Erth Science 1: 0 Wind-Induced Phenomenon in Cloed Wter Are with Floting-Leved Plnt Akinori Ozki Abtrct In thi tudy, in order to clrify wind-induced phenomen, epecilly

More information

PHYS 601 HW 5 Solution. We wish to find a Fourier expansion of e sin ψ so that the solution can be written in the form

PHYS 601 HW 5 Solution. We wish to find a Fourier expansion of e sin ψ so that the solution can be written in the form 5 Solving Kepler eqution Conider the Kepler eqution ωt = ψ e in ψ We wih to find Fourier expnion of e in ψ o tht the olution cn be written in the form ψωt = ωt + A n innωt, n= where A n re the Fourier

More information

New data structures to reduce data size and search time

New data structures to reduce data size and search time New dt structures to reduce dt size nd serch time Tsuneo Kuwbr Deprtment of Informtion Sciences, Fculty of Science, Kngw University, Hirtsuk-shi, Jpn FIT2018 1D-1, No2, pp1-4 Copyright (c)2018 by The Institute

More information

CHAPTER 4 DESIGN OF STATE FEEDBACK CONTROLLERS AND STATE OBSERVERS USING REDUCED ORDER MODEL

CHAPTER 4 DESIGN OF STATE FEEDBACK CONTROLLERS AND STATE OBSERVERS USING REDUCED ORDER MODEL 98 CHAPTER DESIGN OF STATE FEEDBACK CONTROLLERS AND STATE OBSERVERS USING REDUCED ORDER MODEL INTRODUCTION The deign of ytem uing tate pace model for the deign i called a modern control deign and it i

More information

EE Control Systems LECTURE 8

EE Control Systems LECTURE 8 Coyright F.L. Lewi 999 All right reerved Udted: Sundy, Ferury, 999 EE 44 - Control Sytem LECTURE 8 REALIZATION AND CANONICAL FORMS A liner time-invrint (LTI) ytem cn e rereented in mny wy, including: differentil

More information

Lecture 10 Filtering: Applied Concepts

Lecture 10 Filtering: Applied Concepts Lecture Filtering: Applied Concept In the previou two lecture, you have learned about finite-impule-repone (FIR) and infinite-impule-repone (IIR) filter. In thee lecture, we introduced the concept of filtering

More information

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies Stte spce systems nlysis (continued) Stbility A. Definitions A system is sid to be Asymptoticlly Stble (AS) when it stisfies ut () = 0, t > 0 lim xt () 0. t A system is AS if nd only if the impulse response

More information

Fig. 1. Open-Loop and Closed-Loop Systems with Plant Variations

Fig. 1. Open-Loop and Closed-Loop Systems with Plant Variations ME 3600 Control ystems Chrcteristics of Open-Loop nd Closed-Loop ystems Importnt Control ystem Chrcteristics o ensitivity of system response to prmetric vritions cn be reduced o rnsient nd stedy-stte responses

More information

Section 4.2 Analysis of synchronous machines Part II

Section 4.2 Analysis of synchronous machines Part II Section 4. Anlyi of ynchronou mchine Prt 4.. Sttor flux linkge in non-lient pole ynchronou motor due to rotor The ir-gp field produced by the rotor produce flux linkge with individul phe winding. Thee

More information

CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS

CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS 8.1 INTRODUCTION 8.2 REDUCED ORDER MODEL DESIGN FOR LINEAR DISCRETE-TIME CONTROL SYSTEMS 8.3

More information

1.1. Linear Constant Coefficient Equations. Remark: A differential equation is an equation

1.1. Linear Constant Coefficient Equations. Remark: A differential equation is an equation 1 1.1. Liner Constnt Coefficient Equtions Section Objective(s): Overview of Differentil Equtions. Liner Differentil Equtions. Solving Liner Differentil Equtions. The Initil Vlue Problem. 1.1.1. Overview

More information

On the Adders with Minimum Tests

On the Adders with Minimum Tests Proceeding of the 5th Ain Tet Sympoium (ATS '97) On the Adder with Minimum Tet Seiji Kjihr nd Tutomu So Dept. of Computer Science nd Electronic, Kyuhu Intitute of Technology Atrct Thi pper conider two

More information

MULTI-DISCIPLINARY SYSTEM DESIGN OPTIMIZATION OF THE F-350 REAR SUSPENSION *

MULTI-DISCIPLINARY SYSTEM DESIGN OPTIMIZATION OF THE F-350 REAR SUSPENSION * AIAA-00-xxxx MULTI-DISCIPLINARY SYSTEM DESIGN OPTIMIZATION OF THE F-350 REAR SUSPENSION * Jcob Wronki Mter of Science Cndidte Deprtment of Mechnicl Engineering MIT CADlb J. Michel Gry Mter of Science Cndidte

More information

SIMULATION OF TRANSIENT EQUILIBRIUM DECAY USING ANALOGUE CIRCUIT

SIMULATION OF TRANSIENT EQUILIBRIUM DECAY USING ANALOGUE CIRCUIT Bjop ol. o. Decemer 008 Byero Journl of Pure nd Applied Science, ():70 75 Received: Octoer, 008 Accepted: Decemer, 008 SIMULATIO OF TRASIET EQUILIBRIUM DECAY USIG AALOGUE CIRCUIT *Adullhi,.., Ango U.S.

More information

Reinforcement Learning and Policy Reuse

Reinforcement Learning and Policy Reuse Reinforcement Lerning nd Policy Reue Mnuel M. Veloo PEL Fll 206 Reding: Reinforcement Lerning: An Introduction R. Sutton nd A. Brto Probbilitic policy reue in reinforcement lerning gent Fernndo Fernndez

More information

Mechanical Systems Part A: State-Space Systems Lecture AL10. State estimation Compensator design

Mechanical Systems Part A: State-Space Systems Lecture AL10. State estimation Compensator design : 46-4 Mechnicl Stem Prt : Stte-Spce Stem ectre Stte etimtion ompentor deign combintion of control l nd etimtor eprtion principle Stte etimtion We re ble to plce the P rbitrril b feeding bck ll the tte:

More information

ELECTRICAL CIRCUITS 10. PART II BAND PASS BUTTERWORTH AND CHEBYSHEV

ELECTRICAL CIRCUITS 10. PART II BAND PASS BUTTERWORTH AND CHEBYSHEV 45 ELECTRICAL CIRCUITS 0. PART II BAND PASS BUTTERWRTH AND CHEBYSHEV Introduction Bnd p ctive filter re different enough from the low p nd high p ctive filter tht the ubject will be treted eprte prt. Thi

More information

Problems (Show your work!)

Problems (Show your work!) Prctice Midter Multiple Choice 1. A. C 3. D 4. D 5. D 6. E 7. D 8. A 9. C 9. In word, 3.5*10 11 i E. 350 billion (I nubered 9 twice by itke!) 10. D 11. B 1. D 13. E 14. A 15. C 16. B 17. A 18. A 19. E

More information

Design of a Piezoelectric Actuator Using Topology Optimization

Design of a Piezoelectric Actuator Using Topology Optimization Univerity of Tenneee, Knoxville Trce: Tenneee Reerch nd Cretive Exchnge Mter Thee Grdute School 5-23 Deign of Piezoelectric Actutor Uing Topology Optimiztion Jochim Drenckhn Univerity of Tenneee - Knoxville

More information

Analysis of Variance and Design of Experiments-II

Analysis of Variance and Design of Experiments-II Anlyi of Vrince nd Deign of Experiment-II MODULE VI LECTURE - 7 SPLIT-PLOT AND STRIP-PLOT DESIGNS Dr. Shlbh Deprtment of Mthemtic & Sttitic Indin Intitute of Technology Knpur Anlyi of covrince ith one

More information

DYNAMICS VECTOR MECHANICS FOR ENGINEERS: Plane Motion of Rigid Bodies: Forces and Accelerations. Seventh Edition CHAPTER

DYNAMICS VECTOR MECHANICS FOR ENGINEERS: Plane Motion of Rigid Bodies: Forces and Accelerations. Seventh Edition CHAPTER CHAPTER 16 VECTOR MECHANICS FOR ENGINEERS: DYNAMICS Ferdinnd P. Beer E. Ruell Johnton, Jr. Lecture Note: J. Wlt Oler Tex Tech Univerity Plne Motion of Rigid Bodie: Force nd Accelertion Content Introduction

More information

M. A. Pathan, O. A. Daman LAPLACE TRANSFORMS OF THE LOGARITHMIC FUNCTIONS AND THEIR APPLICATIONS

M. A. Pathan, O. A. Daman LAPLACE TRANSFORMS OF THE LOGARITHMIC FUNCTIONS AND THEIR APPLICATIONS DEMONSTRATIO MATHEMATICA Vol. XLVI No 3 3 M. A. Pthn, O. A. Dmn LAPLACE TRANSFORMS OF THE LOGARITHMIC FUNCTIONS AND THEIR APPLICATIONS Abtrct. Thi pper del with theorem nd formul uing the technique of

More information

concentration of the chemical species A to activity as shown below:

concentration of the chemical species A to activity as shown below: Fundmentl of Anlyticl Chemitry: th ed. Chpter Chpter - Activity, A, i the effective concentrtion of chemicl ecie A in olution. The ctivity coefficient, A, i the numericl fctor necery to convert the molr

More information

Lecture Notes II. As the reactor is well-mixed, the outlet stream concentration and temperature are identical with those in the tank.

Lecture Notes II. As the reactor is well-mixed, the outlet stream concentration and temperature are identical with those in the tank. Lecture Note II Example 6 Continuou Stirred-Tank Reactor (CSTR) Chemical reactor together with ma tranfer procee contitute an important part of chemical technologie. From a control point of view, reactor

More information

Reinforcement Learning for Robotic Locomotions

Reinforcement Learning for Robotic Locomotions Reinforcement Lerning for Robotic Locomotion Bo Liu Stnford Univerity 121 Cmpu Drive Stnford, CA 94305, USA bliuxix@tnford.edu Hunzhong Xu Stnford Univerity 121 Cmpu Drive Stnford, CA 94305, USA xuhunvc@tnford.edu

More information

Predict Global Earth Temperature using Linier Regression

Predict Global Earth Temperature using Linier Regression Predict Globl Erth Temperture using Linier Regression Edwin Swndi Sijbt (23516012) Progrm Studi Mgister Informtik Sekolh Teknik Elektro dn Informtik ITB Jl. Gnesh 10 Bndung 40132, Indonesi 23516012@std.stei.itb.c.id

More information

Lyapunov-type inequality for the Hadamard fractional boundary value problem on a general interval [a; b]; (1 6 a < b)

Lyapunov-type inequality for the Hadamard fractional boundary value problem on a general interval [a; b]; (1 6 a < b) Lypunov-type inequlity for the Hdmrd frctionl boundry vlue problem on generl intervl [; b]; ( 6 < b) Zid Ldjl Deprtement of Mthemtic nd Computer Science, ICOSI Lbortory, Univerity of Khenchel, 40000, Algeri.

More information

Physics 201 Lab 3: Measurement of Earth s local gravitational field I Data Acquisition and Preliminary Analysis Dr. Timothy C. Black Summer I, 2018

Physics 201 Lab 3: Measurement of Earth s local gravitational field I Data Acquisition and Preliminary Analysis Dr. Timothy C. Black Summer I, 2018 Physics 201 Lb 3: Mesurement of Erth s locl grvittionl field I Dt Acquisition nd Preliminry Anlysis Dr. Timothy C. Blck Summer I, 2018 Theoreticl Discussion Grvity is one of the four known fundmentl forces.

More information

Problem Set 3 Solutions

Problem Set 3 Solutions Chemistry 36 Dr Jen M Stndrd Problem Set 3 Solutions 1 Verify for the prticle in one-dimensionl box by explicit integrtion tht the wvefunction ψ ( x) π x is normlized To verify tht ψ ( x) is normlized,

More information

du = C dy = 1 dy = dy W is invertible with inverse U, so that y = W(t) is exactly the same thing as t = U(y),

du = C dy = 1 dy = dy W is invertible with inverse U, so that y = W(t) is exactly the same thing as t = U(y), 29. Differentil equtions. The conceptul bsis of llometr Did it occur to ou in Lecture 3 wh Fiboncci would even cre how rpidl rbbit popultion grows? Mbe he wnted to et the rbbits. If so, then he would be

More information

Problem-Solving Companion

Problem-Solving Companion ProblemSolving Compnion To ccompny Bic Engineering Circuit Anlyi Eight Edition J. Dvid Irwin Auburn Univerity JOHN WILEY & SONS, INC. Executive Editor Bill Zobrit Aitnt Editor Kelly Boyle Mrketing Mnger

More information

EE 4443/5329. LAB 3: Control of Industrial Systems. Simulation and Hardware Control (PID Design) The Inverted Pendulum. (ECP Systems-Model: 505)

EE 4443/5329. LAB 3: Control of Industrial Systems. Simulation and Hardware Control (PID Design) The Inverted Pendulum. (ECP Systems-Model: 505) EE 4443/5329 LAB 3: Control of Indutrial Sytem Simulation and Hardware Control (PID Deign) The Inverted Pendulum (ECP Sytem-Model: 505) Compiled by: Nitin Swamy Email: nwamy@lakehore.uta.edu Email: okuljaca@lakehore.uta.edu

More information

4. UNBALANCED 3 FAULTS

4. UNBALANCED 3 FAULTS 4. UNBALANCED AULTS So fr: we hve tudied lned fult ut unlned fult re more ommon. Need: to nlye unlned ytem. Could: nlye three-wire ytem V n V n V n Mot ommon fult type = ingle-phe to ground i.e. write

More information

DESIGN OF AN INTEGRATED PROGRAMMABLE FRACTIONAL-ORDER GENERALIZED FILTER. M. Sc. Thesis BERTSIAS PANAGIOTIS R.N. 485

DESIGN OF AN INTEGRATED PROGRAMMABLE FRACTIONAL-ORDER GENERALIZED FILTER. M. Sc. Thesis BERTSIAS PANAGIOTIS R.N. 485 UNIVERSITY OF PATRAS DEPARTMENT OF PHYSICS ELECTRONICS LABORATORY M.Sc. ELECTRONICS & COMMUNICATIONS DESIGN OF AN INTEGRATED PROGRAMMABLE FRACTIONAL-ORDER GENERALIZED FILTER M. Sc. Thei BERTSIAS PANAGIOTIS

More information

Approximation of continuous-time systems with discrete-time systems

Approximation of continuous-time systems with discrete-time systems Approximtion of continuou-time ytem with icrete-time ytem he continuou-time ytem re replce by icrete-time ytem even for the proceing of continuou-time ignl.. Impule invrince metho 2. Step invrince metho

More information

A MEASUREMENT ASSURANCE PROGRAM FOR CALIBRATION BY THE STATIC WEIGH METHOD CS5000

A MEASUREMENT ASSURANCE PROGRAM FOR CALIBRATION BY THE STATIC WEIGH METHOD CS5000 A EAUREENT AURANCE PROGRA FOR CALIBRATION BY THE TATIC WEIGH ETHOD C5000 JI HITCHAN AND TEVE NGUYEN, NOVEBER. 3, 05 Thi document outline the eurement Aurnce Progrm (AP) for eetric C5000 flo meurement ytem

More information

Sealed tuned liquid column dampers: a cost effective solution for vibration damping of large arch hangers

Sealed tuned liquid column dampers: a cost effective solution for vibration damping of large arch hangers Seled tuned liquid column dmper: cot effective olution for vibrtion dmping of lrge rch hnger W. De Corte, C. Deleie nd Ph. Vn Bogert Ghent Univerity, Deprtment of Civil Engineering, Ghent, Belgium ABSTRACT:

More information

Given the following circuit with unknown initial capacitor voltage v(0): X(s) Immediately, we know that the transfer function H(s) is

Given the following circuit with unknown initial capacitor voltage v(0): X(s) Immediately, we know that the transfer function H(s) is EE 4G Note: Chapter 6 Intructor: Cheung More about ZSR and ZIR. Finding unknown initial condition: Given the following circuit with unknown initial capacitor voltage v0: F v0/ / Input xt 0Ω Output yt -

More information

Measuring Electron Work Function in Metal

Measuring Electron Work Function in Metal n experiment of the Electron topic Mesuring Electron Work Function in Metl Instructor: 梁生 Office: 7-318 Emil: shling@bjtu.edu.cn Purposes 1. To understnd the concept of electron work function in metl nd

More information

Multi-dimensional Seismic Control with TLD in Vortex Effect Hao-Xiang HE 1,a, Kui CHEN 2,b,*, Rui-Feng LI

Multi-dimensional Seismic Control with TLD in Vortex Effect Hao-Xiang HE 1,a, Kui CHEN 2,b,*, Rui-Feng LI Interntionl Conference on Mechnic nd Civil Engineering (ICMCE 2014) Multi-dimenionl Seimic Control with TLD in ortex Effect Ho-Xing HE 1,, Kui CHEN 2,b,*, Rui-Feng LI 1 Beijing Key Lbortory of Erthquke

More information

CONSTRUCTIVE CHARACTERISTICS AND MATHEMATICAL MODELLING OF MECHANIC-HIDRAULIC NETWORKS FOR COMPENSATING THE DYNAMICS OF ASSYMETRIC HYDRAULIC MOTORS

CONSTRUCTIVE CHARACTERISTICS AND MATHEMATICAL MODELLING OF MECHANIC-HIDRAULIC NETWORKS FOR COMPENSATING THE DYNAMICS OF ASSYMETRIC HYDRAULIC MOTORS Scientific Bulletin of the Politehnic Univerity of Timior Trnction on Mechnic Specil iue The 6 th Interntionl Conference on Hydrulic Mchinery nd Hydrodynmic Timior, Romni, October -, 004 CONSTRUCTIVE CHRCTERISTICS

More information

Mathematical Sciences Technical Reports (MSTR)

Mathematical Sciences Technical Reports (MSTR) Roe-Hulmn Intitute of Technology Roe-Hulmn Scholr Mthemticl Science Technicl Report (MSTR) Mthemtic 8-15-9 Flttening Cone Sen A. Broughton Roe-Hulmn Intitute of Technology, brought@roe-hulmn.edu Follow

More information

Design, modeling and analysis of a brushless doubly-fed doubly-salient machine for electric vehicles

Design, modeling and analysis of a brushless doubly-fed doubly-salient machine for electric vehicles itle Deign, modeling nd nlyi of bruhle doubly-fed doubly-lient mchine for electric vehicle Author() Fn, Y; Chu, K Cittion Conference Record - I Annul eeting (Ieee Indutry Appliction Society), 005, v. 4,

More information

Adaptive Control of Uncertain Hamiltonian Multi-Input Multi-Output Systems : With Application to Spacecraft Control

Adaptive Control of Uncertain Hamiltonian Multi-Input Multi-Output Systems : With Application to Spacecraft Control 28 Americn Control Conference Wetin Settle Hotel, Settle, Whington, USA June 11-13, 28 ThB16.3 Adptive Control of Uncertin Hmiltonin Multi-Input Multi-Output Sytem : With Appliction to Spcecrft Control

More information

Evolutionary Algorithms Based Fixed Order Robust Controller Design and Robustness Performance Analysis

Evolutionary Algorithms Based Fixed Order Robust Controller Design and Robustness Performance Analysis Proceeding of 01 4th International Conference on Machine Learning and Computing IPCSIT vol. 5 (01) (01) IACSIT Pre, Singapore Evolutionary Algorithm Baed Fixed Order Robut Controller Deign and Robutne

More information

Numerical Analysis: Trapezoidal and Simpson s Rule

Numerical Analysis: Trapezoidal and Simpson s Rule nd Simpson s Mthemticl question we re interested in numericlly nswering How to we evlute I = f (x) dx? Clculus tells us tht if F(x) is the ntiderivtive of function f (x) on the intervl [, b], then I =

More information

Chapter #5 EEE Control Systems

Chapter #5 EEE Control Systems Sprig EEE Chpter #5 EEE Cotrol Sytem Deig Bed o Root Locu Chpter / Sprig EEE Deig Bed Root Locu Led Cotrol (equivlet to PD cotrol) Ued whe the tedy tte propertie of the ytem re ok but there i poor performce,

More information

Examination Electrical Machines and Drives Et4-117 Thursday, October 30, 2003 from 9.00 to 12.00

Examination Electrical Machines and Drives Et4-117 Thursday, October 30, 2003 from 9.00 to 12.00 Exmintion Electricl Mchine nd Drive Et4-117 Thurdy, Octoer 30, 003 from 900 to 100 Thi exmintion conit of 6 prolem The numer efore prolem indicte how mny point cn e erned with thi prolem 15 Prolem 1 c

More information

ELEC 372 LECTURE NOTES, WEEK 6 Dr. Amir G. Aghdam Concordia University

ELEC 372 LECTURE NOTES, WEEK 6 Dr. Amir G. Aghdam Concordia University ELEC 37 LECTURE NOTES, WEE 6 Dr mir G ghdm Cocordi Uiverity Prt of thee ote re dpted from the mteril i the followig referece: Moder Cotrol Sytem by Richrd C Dorf d Robert H Bihop, Pretice Hll Feedbck Cotrol

More information

A COMPARATIVE STUDY OF SISO AND MIMO CONTROL STRATEGIES FOR FLOOR VIBRATION DAMPING

A COMPARATIVE STUDY OF SISO AND MIMO CONTROL STRATEGIES FOR FLOOR VIBRATION DAMPING 6th ECCOMAS Conference on Smrt Structure nd Mteril SMART2013 Politecnico di Torino, 24-26 June 2013 E. Crrer, F. Miglioretti nd M. Petrolo (Editor) www.mrt2013.com A COMPARATIVE STUDY OF SISO AND MIMO

More information

Bogoliubov Transformation in Classical Mechanics

Bogoliubov Transformation in Classical Mechanics Bogoliubov Tranformation in Claical Mechanic Canonical Tranformation Suppoe we have a et of complex canonical variable, {a j }, and would like to conider another et of variable, {b }, b b ({a j }). How

More information

Fatigue Failure of an Oval Cross Section Prismatic Bar at Pulsating Torsion ( )

Fatigue Failure of an Oval Cross Section Prismatic Bar at Pulsating Torsion ( ) World Engineering & Applied Science Journl 6 (): 7-, 5 ISS 79- IDOSI Publiction, 5 DOI:.59/idoi.wej.5.6.. Ftigue Filure of n Ovl Cro Section Primtic Br t Pulting Torion L.Kh. Tlybly nd.m. giyev Intitute

More information

Design By Emulation (Indirect Method)

Design By Emulation (Indirect Method) Deign By Emulation (Indirect Method he baic trategy here i, that Given a continuou tranfer function, it i required to find the bet dicrete equivalent uch that the ignal produced by paing an input ignal

More information

Digital Control System

Digital Control System Digital Control Sytem - A D D A Micro ADC DAC Proceor Correction Element Proce Clock Meaurement A: Analog D: Digital Continuou Controller and Digital Control Rt - c Plant yt Continuou Controller Digital

More information

Accelerator Physics. G. A. Krafft Jefferson Lab Old Dominion University Lecture 5

Accelerator Physics. G. A. Krafft Jefferson Lab Old Dominion University Lecture 5 Accelertor Phyic G. A. Krfft Jefferon L Old Dominion Univerity Lecture 5 ODU Accelertor Phyic Spring 15 Inhomogeneou Hill Eqution Fundmentl trnvere eqution of motion in prticle ccelertor for mll devition

More information

A Constraint Propagation Algorithm for Determining the Stability Margin. The paper addresses the stability margin assessment for linear systems

A Constraint Propagation Algorithm for Determining the Stability Margin. The paper addresses the stability margin assessment for linear systems A Contraint Propagation Algorithm for Determining the Stability Margin of Linear Parameter Circuit and Sytem Lubomir Kolev and Simona Filipova-Petrakieva Abtract The paper addree the tability margin aement

More information

A PLC BASED MIMO PID CONTROLLER FOR MULTIVARIABLE INDUSTRIAL PROCESSES

A PLC BASED MIMO PID CONTROLLER FOR MULTIVARIABLE INDUSTRIAL PROCESSES ABCM Sympoium Serie in Mechatronic - Vol. 3 - pp.87-96 Copyright c 8 by ABCM A PLC BASE MIMO PI CONOLLE FO MULIVAIABLE INUSIAL POCESSES Joé Maria Galvez, jmgalvez@ufmg.br epartment of Mechanical Engineering

More information

Math 31S. Rumbos Fall Solutions to Assignment #16

Math 31S. Rumbos Fall Solutions to Assignment #16 Mth 31S. Rumbos Fll 2016 1 Solutions to Assignment #16 1. Logistic Growth 1. Suppose tht the growth of certin niml popultion is governed by the differentil eqution 1000 dn N dt = 100 N, (1) where N(t)

More information

Solutions Problem Set 2. Problem (a) Let M denote the DFA constructed by swapping the accept and non-accepting state in M.

Solutions Problem Set 2. Problem (a) Let M denote the DFA constructed by swapping the accept and non-accepting state in M. Solution Prolem Set 2 Prolem.4 () Let M denote the DFA contructed y wpping the ccept nd non-ccepting tte in M. For ny tring w B, w will e ccepted y M, tht i, fter conuming the tring w, M will e in n ccepting

More information

Lecture 21: Order statistics

Lecture 21: Order statistics Lecture : Order sttistics Suppose we hve N mesurements of sclr, x i =, N Tke ll mesurements nd sort them into scending order x x x 3 x N Define the mesured running integrl S N (x) = 0 for x < x = i/n for

More information

HW3, Math 307. CSUF. Spring 2007.

HW3, Math 307. CSUF. Spring 2007. HW, Mth 7. CSUF. Spring 7. Nsser M. Abbsi Spring 7 Compiled on November 5, 8 t 8:8m public Contents Section.6, problem Section.6, problem Section.6, problem 5 Section.6, problem 7 6 5 Section.6, problem

More information

On the Uncertainty of Sensors Based on Magnetic Effects. E. Hristoforou, E. Kayafas, A. Ktena, DM Kepaptsoglou

On the Uncertainty of Sensors Based on Magnetic Effects. E. Hristoforou, E. Kayafas, A. Ktena, DM Kepaptsoglou On the Uncertinty of Sensors Bsed on Mgnetic Effects E. ristoforou, E. Kyfs, A. Kten, DM Kepptsoglou Ntionl Technicl University of Athens, Zogrfou Cmpus, Athens 1578, Greece Tel: +3177178, Fx: +3177119,

More information

Math 0230 Calculus 2 Lectures

Math 0230 Calculus 2 Lectures Mth Clculus Lectures Chpter 7 Applictions of Integrtion Numertion of sections corresponds to the text Jmes Stewrt, Essentil Clculus, Erly Trnscendentls, Second edition. Section 7. Ares Between Curves Two

More information

The Predom module. Predom calculates and plots isothermal 1-, 2- and 3-metal predominance area diagrams. Predom accesses only compound databases.

The Predom module. Predom calculates and plots isothermal 1-, 2- and 3-metal predominance area diagrams. Predom accesses only compound databases. Section 1 Section 2 The module clcultes nd plots isotherml 1-, 2- nd 3-metl predominnce re digrms. ccesses only compound dtbses. Tble of Contents Tble of Contents Opening the module Section 3 Stoichiometric

More information

An Application of the Generalized Shrunken Least Squares Estimator on Principal Component Regression

An Application of the Generalized Shrunken Least Squares Estimator on Principal Component Regression An Appliction of the Generlized Shrunken Let Squre Etimtor on Principl Component Regreion. Introduction Profeor Jnn-Huei Jinn Deprtment of Sttitic Grnd Vlley Stte Univerity Allendle, MI 0 USA Profeor Chwn-Chin

More information

Predictive Direct Torque Control Application-Specific Integrated Circuit of an Induction Motor Drive with a Fuzzy Controller

Predictive Direct Torque Control Application-Specific Integrated Circuit of an Induction Motor Drive with a Fuzzy Controller Journl Low Power Electronic Appliction Article Predictive Direct Torque Control Appliction-Specific Integrted Circuit n Induction Mor Drive Fuzzy Controller Guo-Ming Sung *, Wei-Yu Wng, Wen-Sheng Lin Chih-Ping

More information

Sample Problems for the Final of Math 121, Fall, 2005

Sample Problems for the Final of Math 121, Fall, 2005 Smple Problems for the Finl of Mth, Fll, 5 The following is collection of vrious types of smple problems covering sections.8,.,.5, nd.8 6.5 of the text which constitute only prt of the common Mth Finl.

More information

Review of Calculus, cont d

Review of Calculus, cont d Jim Lmbers MAT 460 Fll Semester 2009-10 Lecture 3 Notes These notes correspond to Section 1.1 in the text. Review of Clculus, cont d Riemnn Sums nd the Definite Integrl There re mny cses in which some

More information

EE Control Systems LECTURE 6

EE Control Systems LECTURE 6 Copyright FL Lewi 999 All right reerved EE - Control Sytem LECTURE 6 Updated: Sunday, February, 999 BLOCK DIAGRAM AND MASON'S FORMULA A linear time-invariant (LTI) ytem can be repreented in many way, including:

More information

APPLIED THERMODYNAMICS TUTORIAL 6 AIR-VAPOUR MIXTURES

APPLIED THERMODYNAMICS TUTORIAL 6 AIR-VAPOUR MIXTURES APPLIED THERMODYNAMICS TUTORIAL 6 AIR-APOUR MIXTURES In thi tutoril you will do the following. Revie the UNIERSAL GAS LAW Lern DALTONS LAW OF PARTIAL PRESSURES Aly thee lw to mixture of wter vour nd ir.

More information

Designing Information Devices and Systems I Discussion 8B

Designing Information Devices and Systems I Discussion 8B Lst Updted: 2018-10-17 19:40 1 EECS 16A Fll 2018 Designing Informtion Devices nd Systems I Discussion 8B 1. Why Bother With Thévenin Anywy? () Find Thévenin eqiuvlent for the circuit shown elow. 2kΩ 5V

More information

THREE-DIMENSIONAL MODELING OF STRESS-STRAIN RELATIONSHIP OF SAND SUBJECT TO LARGE CYCLIC LOADING

THREE-DIMENSIONAL MODELING OF STRESS-STRAIN RELATIONSHIP OF SAND SUBJECT TO LARGE CYCLIC LOADING Per No. TMSNA THREE-DIMENSIONAL MODELING OF STRESS-STRAIN RELATIONSHIP OF SAND SUBJECT TO LARGE CYCLIC LOADING Tutomu NAMIKAWA, Junichi KOSEKI,Lddu Indik Nlin DE SILVA 3 ABSTRACT In order to redict ground

More information

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007 A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H Thoms Shores Deprtment of Mthemtics University of Nebrsk Spring 2007 Contents Rtes of Chnge nd Derivtives 1 Dierentils 4 Are nd Integrls 5 Multivrite Clculus

More information

Optimal Treatment of Queueing Model for Highway

Optimal Treatment of Queueing Model for Highway Journl of Computtion & Modelling, vol.1, no.1, 011, 61-71 ISSN: 179-765 (print, 179-8850 (online Interntionl Scientific Pre, 011 Optiml Tretment of Queueing Model for Highwy I.A. Imil 1, G.S. Mokddi, S.A.

More information

into a discrete time function. Recall that the table of Laplace/z-transforms is constructed by (i) selecting to get

into a discrete time function. Recall that the table of Laplace/z-transforms is constructed by (i) selecting to get Lecture 25 Introduction to Some Matlab c2d Code in Relation to Sampled Sytem here are many way to convert a continuou time function, { h( t) ; t [0, )} into a dicrete time function { h ( k) ; k {0,,, }}

More information

Chapter #3 EEE Subsea Control and Communication Systems

Chapter #3 EEE Subsea Control and Communication Systems EEE 87 Chter #3 EEE 87 Sube Cotrol d Commuictio Sytem Cloed loo ytem Stedy tte error PID cotrol Other cotroller Chter 3 /3 EEE 87 Itroductio The geerl form for CL ytem: C R ', where ' c ' H or Oe Loo (OL)

More information

SIMPLIFIED MODEL FOR EPICYCLIC GEAR INERTIAL CHARACTERISTICS

SIMPLIFIED MODEL FOR EPICYCLIC GEAR INERTIAL CHARACTERISTICS UNIVERSITY OF PITESTI SCIENTIFIC BULLETIN FACULTY OF ECHANICS AND TECHNOLOGY AUTOOTIVE erie, year XVII, no. ( 3 ) SIPLIFIED ODEL FOR EPICYCLIC GEAR INERTIAL CHARACTERISTICS Ciobotaru, Ticuşor *, Feraru,

More information

Reading from Young & Freedman: For this topic, read the introduction to chapter 24 and sections 24.1 to 24.5.

Reading from Young & Freedman: For this topic, read the introduction to chapter 24 and sections 24.1 to 24.5. PHY1 Electricity Topic 5 (Lectures 7 & 8) pcitors nd Dielectrics In this topic, we will cover: 1) pcitors nd pcitnce ) omintions of pcitors Series nd Prllel 3) The energy stored in cpcitor 4) Dielectrics

More information

Assessment of Performance for Single Loop Control Systems

Assessment of Performance for Single Loop Control Systems Aement of Performance for Single Loop Control Sytem Hiao-Ping Huang and Jyh-Cheng Jeng Department of Chemical Engineering National Taiwan Univerity Taipei 1617, Taiwan Abtract Aement of performance in

More information

Solutions to Supplementary Problems

Solutions to Supplementary Problems Solutions to Supplementry Problems Chpter 8 Solution 8.1 Step 1: Clculte the line of ction ( x ) of the totl weight ( W ).67 m W = 5 kn W 1 = 16 kn 3.5 m m W 3 = 144 kn Q 4m Figure 8.10 Tking moments bout

More information