ROBUST CONTROL OF A SPEED SENSORLESS PERMANENT MAGNET SYNCHRONOUS MOTOR DRIVE
|
|
- Miranda Gibson
- 6 years ago
- Views:
Transcription
1 ROBUST CONTROL OF A SPEED SENSORLESS PERMANENT MAGNET SYNCHRONOUS MOTOR DRIVE A. A. Hassa, a M. Azzam Elctrical Egirig Dpartmt, Faculty of Egirig, El-Miia Uirsity, EL-Miia, Egypt. {aahs, Abstract - This papr prsts th applicatio of th Liar Quartic Gaussia (LQG) cotrollr to th stat stimatio a fback of a sp ssorlss prmat magt sychroous motor (PMSM) ri systm. Th oliar mol of th motor has b liariz o th basis of fil oritatio pricipl. Th staar Kalma filtr tchiu has b us to stimat th sp, positio, a loa toru by masurig oly th stator currt. Th optimal stat fback gais a th Kalma stat spac mol ha b calculat off-li i orr to ruc th computatioal bur. Th propos cotrollr has th aatags of robustss, asy implmtatio a auat prformac i th fac of ucrtaitis. Moror, th loa isturbac ca b rjct without affctig th orall prformac. Computr simulatios ha b carri out i orr to aliat th ffctiss of th propos schm. Th rsults show that accurat trackig prformac of th PMSM has b achi. Ix Trms: prmat magt sychroous motor Liar Quartic Gaussia cotrollr- Kalma filtr. NOMENCLATURE, - stator oltags, α, β α β stator oltags, i, i - stator currts, i α, i β α β stator currts, R s L ω r stator rsistac/phas, L, - stator iuctacs, ω p P φ D T L j Motor agular sp, lctrical agular sp, iffrtial oprator, umbr of pol pairs, prmat magt flux likag, iscous frictio cofficit, Loa toru, momt of irtia 1. INTRODUCTION I rct yars, prmat magt sychroous motor ris ha b wily us i may iustrial applicatios such as robots, rollig mills a machi tools. Th ihrt aatags of ths machis iclu high powr sity, low irtia, a high sp capabilitis. Howr, th cotrol prformac of th PMSM is gratly affct by th ucrtaitis of th plat which usually ar mismatch motor paramtrs, xtral loa isturbac, a umoll a oliar yamics [1]. Aac cotrol tchius such as oliar cotrol [2], aapti cotrol [3], robust cotrol [4], ariabl structur cotrol [5], a itlligt cotrol [6, 7] ha b lop to al with plat ucrtaitis ur arious opratig coitios. I ths cotrol schms, th sp or positio sigal is cssary for stablishig th outr sp loop fback a also i th flux a toru cotrol algorithms. From th iwpoits of rliability, robustss, a cost, sral approachs ha b propos that arss th limiatio of th mchaical ssors. Som approachs ar bas o th motor uatios i orr to xprss rotor positios a sp as fuctios of trmial uatitis [8, 9]. Howr, th ssitiity to motor paramtrs is a major rawback of this mtho. I othr approach, ssorlss PMSM ris ha b lop o th basis of stat obsrrs [2,1,11]. Howr, th orall stability may ot b guarat i ths schms u to crtai assumptios itrouc, complicat cotrollr sig, a fback liarizatio. I a thir approach, th stimatio of th rotor positio a sp ha b propos usig th xt Kalma filtr tchiu [12-15]. Howr, this mtho has som ihrt isaatags such as th ffct of ois charactristic, th computatioal bur, paramtr ssitiity, a th absc of sig a tuig critria. I this papr, th PMSM ri has b cotroll usig th LQG cotrollr. Th structur of th LQG cosists of a Kalma filtr stimator a optimal stat fback gais. Th oliar mol of th motor has b liariz accorig to th fil oritatio pricipl. All th systm stats icluig th sp, positio, a loa toru ha b stimat usig th staar Kalma filtr. Th stator currt is th oly masur sigal. Th computatioal bur has b miimiz to a larg xtt by computig th optimal stat fback gais a th Kalma stat spac mol off-li. Computr simulatios ha b carri out i orr to aluat th ffctiss of th propos schm. Th rsults pro that th propos cotrollr ca gi
2 bttr orall prformac rgarig to high stimatio accuracy, uick rcor from loa isturbac, goo trackig ability a simpl implmtatio. 2. MATHEMATICAL MODEL Th yamic mol of th LBDCM ca b scrib i th - rotor fram as follows [14]: V = R i + pλ ω λ (1) s V = Rsi + pλ + ωλ (2) Whr: λ L i + φ (3) = λ = L i (4) ω = Pω r (5) Th mchaical motio of th PMSM ca b xprss as: T = jpω + Dω + T (6) r r L Whr T is th lctromagtic toru lop by th machi which is gi by: T = 3/ 2) P [ λ i + ( L L ) i i ] (7) ( 3. LINEARISED MODEL Th basic pricipl i cotrollig th PMSM is bas o fil oritatio. This is obtai by lttig th prmat magt flux likag b alig with th - axis, a th stator currt ctor is kpt alog th - axis irctio. This mas that th alu of i is kpt zro i orr to achi th fil oritatio coitio. Sic th prmat magt flux is costat, thrfor th lctromagtic toru is liarly proportioal to th -axis currt which is trmi by clos loop cotrol. As a rsult, maximum toru pr ampr ca b obtai from th machi i aitio to th achimt of high yamic prformac. Applyig th fil oritatio cocpt by lttig i = i uatios (1-7), th liaris mol of th PMSM ca b scrib i a stat spac form as : pi = 1/ L ).( R. i + φ. ω ) (8) ( s 2 pω = (1/ j).(1.5 P φ. i D. ω P. T ) (9) Th rotor positio yamics ca b xprss as: pθ = ω (1) L Assumig that th ukow loa toru has a slow ariatio which ca b mol satisfactorily as [2]: p. T L =. (11) Th stat uatios of th liaris mol of th PMSM ca b writt i a matrix form as : Whr : Rs / L 2 = 1.5P φ / j A px = Ax + Bu (12) y = Cx (13) φ / L D / j 1 [ 1/ ] T P / j =, C [ 1 ] T B L u = a i y =. =, 4. CONTROL STRATEGY I this papr, th LQG cotrollr has b mploy to cotrol a sp ssorlss fil orit PMSM ri. Th LQG is a mor stat spac tchiu for sigig optimal yamic rgulators. It has th followig aatags : 1) It abls to tra off rgulatio prformac a cotrol ffort. 2) It taks ito accout th procss isturbac a masurmt ois. Th LQG cotrollr cosists of a optimal stat fback gai k a a Kalma stat stimator. Th optimal fback gai is calculat such that th fback cotrol law u = kx = k[ i ] T ω θ T L miimizs th prformac ix : T T H = ( x Qx + u Ru)t whr Q a R ar positi fiit or smi fiit Hrmittia or ral symmtric matrics. Th optimal stat fback u = kx is ot implmtabl without full stat masurmt. I our cas, th stats ar chos to b currt, sp, positio a loa toru whil th currt is chos to b th output masur sigal. Th Kalma filtr stimator is us to ri th stat stimatio : T x = i ω θ T L such that u = k x rmais optimal for th output fback problm. Th stat stimatio is grat from [16]:,
3 p x = ( A Bk LC) x + Ly Whr L is th Kalma gai which is trmi by kowig th systm ois a masurmt coariacs Q a R. Howr, th accuracy of th filtr s prformac ps haily upo th accuracy of ths coariacs. O th othr ha th matrics A a B cotaiig th motor paramtrs ar ot ruir to b ry accurat u to th ihrt fback atur of th systm. Th Kalma filtr prforms bst for liar systms. Thrfor, Th oliar mol of th PMSM has b liaris through th us of fil oritatio cocpt. Th optimal stat fback gais a th Kalma stat spac mol ha b calculat offli which rsults i grat saig i computatioal bur. O this basis, th implmtatio of th propos cotrollr bcoms asir a th harwar will b ruc to miimum. 4. SYSTEM CONFIGURATION Th block iagram of th ssorlss fil orit PMSM with th propos LQG cotrollr is show i figur (1). All th comma alus ar suprscript with astrisk i th iagram. Th systm ca b fuctioally ii ito two parts: sp cotrol systm a LQG cotrollr. Th first part cosists of thr loops, o for th sp a th othrs for th - currts. Th sp rror is f to th sp cotrollr i orr to grat th toru currt comma i. Th flux currt comma i is st to zro to satisfy th fil oritatio coitio. Th rfrc currts i a i ar compar with thir rspcti actual currts. Th rsult rrors ar us to grat th oltag commas a which ar cort to thr phas rfrc alus, a, a b c i th stator fram. Ths oltag sigals ar compar with triagular carrir sigal a th output logic is us to cotrol th PWM irtr. Th sco part of th systm cofiguratio is th LQG cotrollr which cosists of Kalma stimator i aitio to optimal stat fback gais. Th Kalma stimator uss th masur -axis currt i orr to stimat all th stats icluig currt, sp, positio a loa toru. Ths stats ar multipli by th corrspoig optimal gais a summ to prouc th cotrol sigal cssary to compsat for th loa isturbac a systm ucrtaitis. Th tir systm has b simulat o th igital computr usig th Matlab / Simulik / Powrlib softwar packag. Th motor us i th simulatio procur has th followig spcificatios : PMSM : 1 kw, 2-pol, 15 rpm Stator rsistac : 1.55 ohm Stator iuctac : 2.5 m.h. Prmat magt flux :.22 N.m./amp. Momt of irtia :.22 kg.m 2 Frictio cofficit :.221 N.m.s/ra ω ω PI i i PI = i PI θ Rot. α β 2 / 3 a b c PWM VSI θ i i α optimal gai i i Rot. i β 2 / 3 ω K T L Kalma stimator PMSM i Fig. (1) Block iagram of th ssorlss propos schm
4 Th gais of th sp a currt cotrollrs ar chos as : Sp loop : kp = 2, ki = 3 - currt loops : kp = 1, ki = 3 Th ois a masurmt coariacs ar st as : Q =.1, R =.1 Also, th alus of Q a R matrics which ar cssary to calculat th optimal fback gais ar st as : Q = [ ], R = RESULTS Computr simulatios ha b carri out i orr to aliat th ffctiss of th propos schm. Th sp, currt, rotor positio, a toru rsposs ar obsr ur arious opratig coitios such as chag i rfrc sp, stp chag i loa, a paramtr ariatio. Figur (2) shows th actual a stimat rsposs of th propos PMSM ssorlss schm. Th machi is start from rst a assum to follow a crtai sp trajctory. Th rfrc sp is assum to b liar urig th first half sco util 1 rpm is rach, a th kpt costat for 1.5 sco. At tim t=2 sc., th rfrc sp is icras liarly agai with th sam iitial slop to 15 rpm, a th kpt costat urig th rmaiig simulatio tim. A loa toru of 4 N.m. is assum to b appli iitially o th machi a stpp to 6 N.m. at t=3.5 sco. Also, th stator rsistac is tu to 12 % of omial alu. It is clar that th stimat sp tracks wll th trajctory of rfrc o with goo accuracy or th whol sp rag xcpt at startig. This is u to th imprfct stimatio of th Kalma filtr urig th trasit stat whr all th sigals ar istort. Moror, th high stat fback gais amplify th istortio of th stimat sigals at startig. I aitio, th assumptio of zro iitial rotor positio is aothr sourc of rror. O th othr ha, a sp ip is otic at th istat of stp icras i loa toru, but it is succssfully rjct withi.15 sc. Also, th followig rmarks ca b coclu from th figur : a) Th ukow loa toru is stimat fastly a accuratly. b) Th -axis currt is wll coupl from th motor sp, a is rgulat uit wll to b zro. c) Th rotor positio agl stimatio is ot affct by th paramtr ucrtaitis, a a stabl machi ri ca b obtai. ) Th siusoial ariatio of th 3-phas stator currts rspos uickly to th chag i loa. Howr, it sms i figur (2) that thr is a iffrc btw th actual a stimat rotor positio which arsly affcts th couplig btw th - a - axs. This is may b attribut to th followig rasos: a) Th Kalma filtr mol, a th optimal stat fback gais ar trmi o th basis of th liaris mol of th motor. b) Zro iitial rotor positio is assum. I orr to ruc th iscrpacy btw th actual a stimat rotor positio, a prcis molig of th systm is ruir. Also, a goo choic of th coariac matrics will impro th filtr prformac. I aitio, th kowig of th iitial rotor positio woul cras th rror to a larg xtt. Fig. (2) Simulatio waforms of th propos schm at high sps with stator rsistac tu to 12% of omial alu (... actual - stimat ) i i
5 Th robustss of th propos ssorlss schm has b tst at low sps a mismatch paramtrs. Figur (3) shows th simulatio waforms wh th sp is ruc liarly from 1 to 5 rpm (about 3.3% of its omial ). Th loa toru is assum to b costat at 4 N.m. urig th simulatio prio. Moror, th stator rsistac, momt of irtia, a frictio cofficit ar all tu to 2% of thir omial alus, whil th stator iuctac is tu to 5% oly. It is clar that goo trackig capability a fast rsposs ha b achi i spit of th mismatch paramtrs. Howr, th iffrc btw th actual a stimat rotor positio, which has b otic i th figur, is for th sam rasos iscuss abo. i i 6. CONCLUSIONS This papr prsts th applicatio of a high yamic optimal rgulator to cotrol th sp a toru of th prmat magt sychroous motor ri systm without a sp ssor. Th cocpt of th fil oritatio has b appli i orr to liaris th oliar mol of th motor. Th staar Kalma filtr tchiu has b mploy to stimat th sp, positio, a loa toru by masurig oly th stator currt. Th computatioal bur has b miimiz to a grat xtt by computig th optimal stat fback gais a th Kalma stat spac mol off-li. Th propos cotrollr has th aatags of robustss, asy implmtatio a goo prformac i th fac of ucrtaitis. Moror, th loa isturbac ca b rjct without affctig th orall prformac. Computr simulatios ha b carri out i orr to aluat th ffctiss of th propos cotrollr. Th rsults pro that accurat trackig prformac of th PMSM has b achi at low sps as wll as high sps. Moror, this schm is robust agaist th paramtrs ariatio a limiats th ifluc of molig a masurmt oiss. REFERENCES [1] F-J Li, Ral tim positio cotrollr sig with toru fforwar cotrol for PM sychroous motor, IEEE Tras. o Iustrial Elctroics, Vol. 44, No. 3, Ju 1997, pp [2] J. Solsoa, M. I. Valla, a C. Murachik, No liar cotrol of a prmat magt sychroous motor with isturbac toru stimatio, IEEE Tras. O Ergy Corsio, Vol. 15, No. 2, Ju 2, pp [3] J. Zhou, a Y. Wag, Aapti backstppig sp cotrollr sig for a prmat magt sychroous motor, IEE Proc., Elctr. Powr Appl. Vol. 149, No. 2, March 22, p [4] S.I. Mistry, a S.S. Nair, Itificatio a cotrol xprimts usig ural sigs, IEEE Cotrol Syst. Magazi, Vol. 14, No. 3, Ju 1994, p [5] J-H L, a M-J You, A w impro cotiuous ariabl structur cotrollr for accuratly prscrib trackig cotrol of BLDD sro motors, Automatica Vol. 4, 24, pp [6] M. A. Rahma, a M. A. Hou, O-li aapti artificial ural twork bas ctor cotrol of prmat magt sychroous motors, IEEE Tras. O Ergy Corsio, Vol. 13, No. 4, Dc. 1998, pp [7] F-J Li, R.-J. Wai, a H-P Ch, A PM sychroous ri with a O-li trai fuzzy ural twork cotrollr, IEEE Tras. O Ergy Corsio, Vol. 13, No. 4, Dc. 1998, pp [8] R. Wu, a G. R. Slmo, A prmat magt motor ri without shaft ssors, IEEE Tras. O Iust. Appl., Vol. 27, No. 5, Spt./Oct. 1991, pp [9] N. Ertugrul, a P.P. Acarly, A w algorithm for ssorlss opratio of prmat magt motors, IEEE Tras. O Iust. Appl., Vol. 3, Ja./Fb. 1994, pp [1] J. Hu, D. M. Dawso, a K. Arso, Positio cotrol of a brushlss DC motor without locity masurmts, IEE Proc., Elctr. Powr Appl. Vol. 142, No. 2, March 1995, pp
6 [11] J. X. Sh, Z. Q. Zhu, a D. How, Impro sp stimatio i ssorlss PM brushlss AC ris, IEEE Tras. O Iust. Appl., Vol. 38, No. 4 July./August 22, pp [12] H. M. Kojabai, a G. Ahrabia, Simulatio a aalysis of th itrior prmat magt sychroous motor as a brushlss AC ri, Simulatio Practic a Thory Vol. 7, 2, pp [13] B. Trzic a M. Jaric, Dsig a implmtatio of th xt Kalma filtr for th sp a rotor positio stimatio of brushlss DC motor, IEEE Tras. O Iust. Elct., Vol. 48, No. 6 Dc. 21, pp [14] P. L. Salator, a S. Stasi, Applicatio of EKF to paramtr a stat stimatio of pmsm ri, IEE Proc-B, Vol. 139, No. 3, May 1992, pp [15] Y-H Kim, a Y-S Kook, High prformac IPMSM ris without rotatioal positio ssors usig ruc-orr EKF, IEEE Tras. O Ergy Corsio, Vol. 14, No. 4, Dc. 1999, pp [16] G. M. Siouris, Optimal cotrol a stimatio thory, Book publish by Joh Wily & Sos, Ic., U.S.A., 1996.
CDS 101: Lecture 5.1 Reachability and State Space Feedback
CDS, Lctur 5. CDS : Lctur 5. Rachability ad Stat Spac Fdback Richard M. Murray ad Hido Mabuchi 5 Octobr 4 Goals: Di rachability o a cotrol systm Giv tsts or rachability o liar systms ad apply to ampls
More informationPeriodic Structures. Filter Design by the Image Parameter Method
Prioic Structurs a Filtr sig y th mag Paramtr Mtho ECE53: Microwav Circuit sig Pozar Chaptr 8, Sctios 8. & 8. Josh Ottos /4/ Microwav Filtrs (Chaptr Eight) microwav filtr is a two-port twork us to cotrol
More informationIntegral sliding mode based finite-time trajectory tracking control of unmanned surface vehicles with input saturations
Iia Joural of Go Mari Scics Vol. 46 ( Dcmbr 7 pp. 49-5 Itgral sliig mo bas fiit-tim tractory trackig cotrol of uma surfac vhicls with iput saturatios Nig Wag * Yig Gao Shuaili Lv & Mg Joo Er School of
More informationCDS 101: Lecture 5.1 Reachability and State Space Feedback
CDS, Lctur 5. CDS : Lctur 5. Rachability ad Stat Spac Fdback Richard M. Murray 7 Octobr 3 Goals: Di rachability o a cotrol systm Giv tsts or rachability o liar systms ad apply to ampls Dscrib th dsig o
More informationAnalysis of the power losses in the three-phase high-current busducts
Computr Applicatios i Elctrical Egirig Vol. 3 5 Aalysis of th powr losss i th thr-phas high-currt busucts Tomasz Szczgiliak, Zygmut Piątk, Dariusz Kusiak Częstochowa Uivrsity of Tchology 4- Częstochowa,
More informationExercises for lectures 23 Discrete systems
Exrciss for lcturs 3 Discrt systms Michal Šbk Automatické říí 06 30-4-7 Stat-Spac a Iput-Output scriptios Automatické říí - Kybrtika a robotika Mols a trasfrs i CSTbx >> F=[ ; 3 4]; G=[ ;]; H=[ ]; J=0;
More informationRobust Tracking Control for Constrained Robots
Aailabl oli at www.scicirct.com Procia Egirig 4 ( 9 97 Itratioal Symosium o Robotics a Itlligt Ssors (IRIS Robust rackig Cotrol for Costrai Robots Haifa Mhi, Olfa Boubakr* Natioal Istitut of Ali Scics
More informationImproved Three-Step Input Shaping Control of Crane System
WSEAS TRANSACTIONS o SYSTEMS Sirri Suay Gurlyuk, Ozgur Bahair, Yuus Turkka a Haka Usti Improv Thr-Stp Iput Shapig Cotrol of Cra Systm SIRRI SUNAY GÜRLEYÜK Elctric-Elctroic Egirig Dpt. Zogulak Karalmas
More informationSensorless Control of PMSM Based on Extended Kalman Filter
Zong ZHENG,, Yongong LI, Mauric FADEL. Lab. LAPLACE UMR-CNRS, INP-ENSEEIH Ru Charls Camichl, oulous, Franc l.: + / ()... Fax: + / ()... E-Mail: zong.zhng@lapalc.univ-tls.fr E-Mail: mauric.fal@lapalc.univ-tls.fr
More informationProbability & Statistics,
Probability & Statistics, BITS Pilai K K Birla Goa Campus Dr. Jajati Kshari Sahoo Dpartmt of Mathmatics BITS Pilai, K K Birla Goa Campus Poisso Distributio Poisso Distributio: A radom variabl X is said
More informationTheory of Control: I. Overview. Types of Structural Control Active Control Systems. Types of Structural Control
Thory of Cotrol: I Asia Pacific Summr School o Smart s Tchology Richard Christso Uivrsity of Cocticut Ovrviw Itroductio to structural cotrol Cotrol thory Basic fdback cotrol Optimal cotrol stat fdback
More informationChapter 11.00C Physical Problem for Fast Fourier Transform Civil Engineering
haptr. Physical Problm for Fast Fourir Trasform ivil Egirig Itroductio I this chaptr, applicatios of FFT algorithms [-5] for solvig ral-lif problms such as computig th dyamical (displacmt rspos [6-7] of
More informationPURE MATHEMATICS A-LEVEL PAPER 1
-AL P MATH PAPER HONG KONG EXAMINATIONS AUTHORITY HONG KONG ADVANCED LEVEL EXAMINATION PURE MATHEMATICS A-LEVEL PAPER 8 am am ( hours) This papr must b aswrd i Eglish This papr cosists of Sctio A ad Sctio
More informationH2 Mathematics Arithmetic & Geometric Series ( )
H Mathmatics Arithmtic & Gomtric Sris (08 09) Basic Mastry Qustios Arithmtic Progrssio ad Sris. Th rth trm of a squc is 4r 7. (i) Stat th first four trms ad th 0th trm. (ii) Show that th squc is a arithmtic
More informationOn sample allocation for effective EBLUP estimation of small area totals
O sampl allocatio for ffcti EBLUP stimatio of small ara totals Mauo Kto 1 1 Mikkli Uirsity of Appli Scics - Fila, -mail: mauo.kto@mamk.fi Abstract Th ma of rgioal or small ara statistics prouc from larg-scal
More informationDiscrete Fourier Transform (DFT)
Discrt Fourir Trasorm DFT Major: All Egirig Majors Authors: Duc guy http://umricalmthods.g.us.du umrical Mthods or STEM udrgraduats 8/3/29 http://umricalmthods.g.us.du Discrt Fourir Trasorm Rcalld th xpotial
More informationIntroduction to Quantum Information Processing. Overview. A classical randomised algorithm. q 3,3 00 0,0. p 0,0. Lecture 10.
Itroductio to Quatum Iformatio Procssig Lctur Michl Mosca Ovrviw! Classical Radomizd vs. Quatum Computig! Dutsch-Jozsa ad Brsti- Vazirai algorithms! Th quatum Fourir trasform ad phas stimatio A classical
More informationApplication of the nonlinear substructuring control method to nonlinear 2- degree-of-freedom systems
Joural of Physics: Cofrc Sris PAPER OPEN ACCESS Alicatio of th oliar substructurig cotrol mtho to oliar 2- gr-of-from systms To cit this articl: Ryuta Eokia t al 26 J. Phys.: Cof. Sr. 744 239 Viw th articl
More informationAnswer: 1(A); 2(C); 3(A); 4(D); 5(B); 6(A); 7(C); 8(C); 9(A); 10(A); 11(A); 12(C); 13(C)
Aswer: (A); (C); 3(A); 4(D); 5(B); 6(A); 7(C); 8(C); 9(A); 0(A); (A); (C); 3(C). A two loop positio cotrol system is show below R(s) Y(s) + + s(s +) - - s The gai of the Tacho-geerator iflueces maily the
More informationPOWER LOSSES IN THE THREE-PHASE GAS-INSULATED LINE
OZNAN UNVE STY OF TE CHNOLOGY ACADE MC JOUNALS No 89 Elctrical Egirig 7 DO.8/j.897-77.7.89.8 Tomasz SZCZEGELNA Dariusz USA Zygmut ĄTE OWE LOSSES N THE THEE-HASE GAS-NSULATED LNE This papr prsts a aalytical
More informationGlobal Chaos Synchronization of the Hyperchaotic Qi Systems by Sliding Mode Control
Dr. V. Sudarapadia t al. / Itratioal Joural o Computr Scic ad Egirig (IJCSE) Global Chaos Sychroizatio of th Hyprchaotic Qi Systms by Slidig Mod Cotrol Dr. V. Sudarapadia Profssor, Rsarch ad Dvlopmt Ctr
More informationAn Improved Proportional Quasi-Resonant Control of Wind Power GCI under Unbalanced Grid Conditions
WSEAS TRANSACTIONS o SYSTEMS a CONTROL A Imrov Proortioal Quasi-Rsoat Cotrol of Wi Powr GCI ur Ubalac Gri Coitios Dartmt of Elctrical Egirig, Shaghai JiaoTog Uivrsity, 4 Shaghai, Chia x911@hotmail.com
More informationELG3150 Assignment 3
ELG350 Aigmt 3 Aigmt 3: E5.7; P5.6; P5.6; P5.9; AP5.; DP5.4 E5.7 A cotrol ytm for poitioig th had of a floppy dik driv ha th clodloop trafr fuctio 0.33( + 0.8) T ( ) ( + 0.6)( + 4 + 5) Plot th pol ad zro
More informationPartition Functions and Ideal Gases
Partitio Fuctios ad Idal Gass PFIG- You v lard about partitio fuctios ad som uss ow w ll xplor tm i mor dpt usig idal moatomic diatomic ad polyatomic gass! for w start rmmbr: Q( N ( N! N Wat ar N ad? W
More informationDTFT Properties. Example - Determine the DTFT Y ( e ) of n. Let. We can therefore write. From Table 3.1, the DTFT of x[n] is given by 1
DTFT Proprtis Exampl - Dtrmi th DTFT Y of y α µ, α < Lt x α µ, α < W ca thrfor writ y x x From Tabl 3., th DTFT of x is giv by ω X ω α ω Copyright, S. K. Mitra Copyright, S. K. Mitra DTFT Proprtis DTFT
More informationDiscrete Fourier Transform. Nuno Vasconcelos UCSD
Discrt Fourir Trasform uo Vascoclos UCSD Liar Shift Ivariat (LSI) systms o of th most importat cocpts i liar systms thory is that of a LSI systm Dfiitio: a systm T that maps [ ito y[ is LSI if ad oly if
More informationBipolar Junction Transistors
ipolar Juctio Trasistors ipolar juctio trasistors (JT) ar activ 3-trmial dvics with aras of applicatios: amplifirs, switch tc. high-powr circuits high-spd logic circuits for high-spd computrs. JT structur:
More informationz 1+ 3 z = Π n =1 z f() z = n e - z = ( 1-z) e z e n z z 1- n = ( 1-z/2) 1+ 2n z e 2n e n -1 ( 1-z )/2 e 2n-1 1-2n -1 1 () z
Sris Expasio of Rciprocal of Gamma Fuctio. Fuctios with Itgrs as Roots Fuctio f with gativ itgrs as roots ca b dscribd as follows. f() Howvr, this ifiit product divrgs. That is, such a fuctio caot xist
More informationA SINGLE-INVERTER MULTI-MOTOR SYSTEM BASED ON DIRECT TORQUE CONTROL
U.P.B. Sci. Bull., Sris C, Vol. 76, Iss., 014 ISSN 86 3540 A SINGLE-INVERTER MULTI-MOTOR SYSTEM BASED ON DIRECT TORQUE CONTROL Hg WAN 1, Yuwi PAN This papr prsts a mthod of cotrollig multi motors ad dducs
More informationLectures 9 IIR Systems: First Order System
EE3054 Sigals ad Systms Lcturs 9 IIR Systms: First Ordr Systm Yao Wag Polytchic Uivrsity Som slids icludd ar xtractd from lctur prstatios prpard by McCllla ad Schafr Lics Ifo for SPFirst Slids This work
More informationln x = n e = 20 (nearest integer)
H JC Prlim Solutios 6 a + b y a + b / / dy a b 3/ d dy a b at, d Giv quatio of ormal at is y dy ad y wh. d a b () (,) is o th curv a+ b () y.9958 Qustio Solvig () ad (), w hav a, b. Qustio d.77 d d d.77
More informationECE 599/692 Deep Learning
ECE 599/69 Dp Lari Lctur Autocors Hairo Qi Goal Family Profssor Elctrical Eiri a Computr Scic Uivrsity of ss Kovill http://www.cs.ut.u/faculty/qi Email: hqi@ut.u A loo ac i tim INPU 33 C: fatur maps 6@88
More informationOption 3. b) xe dx = and therefore the series is convergent. 12 a) Divergent b) Convergent Proof 15 For. p = 1 1so the series diverges.
Optio Chaptr Ercis. Covrgs to Covrgs to Covrgs to Divrgs Covrgs to Covrgs to Divrgs 8 Divrgs Covrgs to Covrgs to Divrgs Covrgs to Covrgs to Covrgs to Covrgs to 8 Proof Covrgs to π l 8 l a b Divrgt π Divrgt
More informationScattering Parameters. Scattering Parameters
Motivatio cattrig Paramtrs Difficult to implmt op ad short circuit coditios i high frqucis masurmts du to parasitic s ad Cs Pottial stability problms for activ dvics wh masurd i oopratig coditios Difficult
More information15/03/1439. Lectures on Signals & systems Engineering
Lcturs o Sigals & syms Egirig Dsigd ad Prd by Dr. Ayma Elshawy Elsfy Dpt. of Syms & Computr Eg. Al-Azhar Uivrsity Email : aymalshawy@yahoo.com A sigal ca b rprd as a liar combiatio of basic sigals. Th
More informationReview Exercises. 1. Evaluate using the definition of the definite integral as a Riemann Sum. Does the answer represent an area? 2
MATHEMATIS --RE Itgral alculus Marti Huard Witr 9 Rviw Erciss. Evaluat usig th dfiitio of th dfiit itgral as a Rima Sum. Dos th aswr rprst a ara? a ( d b ( d c ( ( d d ( d. Fid f ( usig th Fudamtal Thorm
More informationOn the approximation of the constant of Napier
Stud. Uiv. Babş-Bolyai Math. 560, No., 609 64 O th approximatio of th costat of Napir Adri Vrscu Abstract. Startig from som oldr idas of [] ad [6], w show w facts cocrig th approximatio of th costat of
More informationAPPENDIX: STATISTICAL TOOLS
I. Nots o radom samplig Why do you d to sampl radomly? APPENDI: STATISTICAL TOOLS I ordr to masur som valu o a populatio of orgaisms, you usually caot masur all orgaisms, so you sampl a subst of th populatio.
More informationA Simple Proof that e is Irrational
Two of th most bautiful ad sigificat umbrs i mathmatics ar π ad. π (approximatly qual to 3.459) rprsts th ratio of th circumfrc of a circl to its diamtr. (approximatly qual to.788) is th bas of th atural
More informationChapter 2 Infinite Series Page 1 of 11. Chapter 2 : Infinite Series
Chatr Ifiit Sris Pag of Sctio F Itgral Tst Chatr : Ifiit Sris By th d of this sctio you will b abl to valuat imror itgrals tst a sris for covrgc by alyig th itgral tst aly th itgral tst to rov th -sris
More information1985 AP Calculus BC: Section I
985 AP Calculus BC: Sctio I 9 Miuts No Calculator Nots: () I this amiatio, l dots th atural logarithm of (that is, logarithm to th bas ). () Ulss othrwis spcifid, th domai of a fuctio f is assumd to b
More informationMONTGOMERY COLLEGE Department of Mathematics Rockville Campus. 6x dx a. b. cos 2x dx ( ) 7. arctan x dx e. cos 2x dx. 2 cos3x dx
MONTGOMERY COLLEGE Dpartmt of Mathmatics Rockvill Campus MATH 8 - REVIEW PROBLEMS. Stat whthr ach of th followig ca b itgratd by partial fractios (PF), itgratio by parts (PI), u-substitutio (U), or o of
More informationTriple Play: From De Morgan to Stirling To Euler to Maclaurin to Stirling
Tripl Play: From D Morga to Stirlig To Eulr to Maclauri to Stirlig Augustus D Morga (186-1871) was a sigificat Victoria Mathmaticia who mad cotributios to Mathmatics History, Mathmatical Rcratios, Mathmatical
More informationECE594I Notes set 6: Thermal Noise
C594I ots, M. odwll, copyrightd C594I Nots st 6: Thrmal Nois Mark odwll Uivrsity of Califoria, ata Barbara rodwll@c.ucsb.du 805-893-344, 805-893-36 fax frcs ad Citatios: C594I ots, M. odwll, copyrightd
More informationNote: Torque is prop. to current Stationary voltage is prop. to speed
DC Mach Cotrol Mathmatcal modl. Armatr ad orq f m m a m m r a a a a a dt d ψ ψ ψ ω Not: orq prop. to crrt Statoary voltag prop. to pd Mathmatcal modl. Fld magtato f f f f d f dt a f ψ m m f f m fλ h torq
More informationLecture contents. Density of states Distribution function Statistic of carriers. Intrinsic Extrinsic with no compensation Compensation
Ltur otts Dsity of stats Distributio futio Statisti of arrirs Itrisi trisi with o ompsatio ompsatio S 68 Ltur #7 Dsity of stats Problm: alulat umbr of stats pr uit rgy pr uit volum V() Larg 3D bo (L is
More informationLecture 6 - SISO Loop Analysis
Lctr 6 - IO Loop Aal IO gl Ipt gl Otpt Aal: tablt rformac Robt EE39m - Wtr 003 otrol Egrg 6- ODE tablt Lapo tablt thor - olar tm tablt fto frt rct mtho xpotal corgc co mtho: Lapo fcto gralzato of rg pato
More informationLECTURE 13 Filling the bands. Occupancy of Available Energy Levels
LUR 3 illig th bads Occupacy o Availabl rgy Lvls W hav dtrmid ad a dsity o stats. W also d a way o dtrmiig i a stat is illd or ot at a giv tmpratur. h distributio o th rgis o a larg umbr o particls ad
More informationMILLIKAN OIL DROP EXPERIMENT
11 Oct 18 Millika.1 MILLIKAN OIL DROP EXPERIMENT This xprimt is dsigd to show th quatizatio of lctric charg ad allow dtrmiatio of th lmtary charg,. As i Millika s origial xprimt, oil drops ar sprayd ito
More informationWashington State University
he 3 Ktics ad Ractor Dsig Sprg, 00 Washgto Stat Uivrsity Dpartmt of hmical Egrg Richard L. Zollars Exam # You will hav o hour (60 muts) to complt this xam which cosists of four (4) problms. You may us
More information(Reference: sections in Silberberg 5 th ed.)
ALE. Atomic Structur Nam HEM K. Marr Tam No. Sctio What is a atom? What is th structur of a atom? Th Modl th structur of a atom (Rfrc: sctios.4 -. i Silbrbrg 5 th d.) Th subatomic articls that chmists
More informationA Novel Approach to Recovering Depth from Defocus
Ssors & Trasducrs 03 by IFSA http://www.ssorsportal.com A Novl Approach to Rcovrig Dpth from Dfocus H Zhipa Liu Zhzhog Wu Qiufg ad Fu Lifag Collg of Egirig Northast Agricultural Uivrsity 50030 Harbi Chia
More informationTime : 1 hr. Test Paper 08 Date 04/01/15 Batch - R Marks : 120
Tim : hr. Tst Papr 8 D 4//5 Bch - R Marks : SINGLE CORRECT CHOICE TYPE [4, ]. If th compl umbr z sisfis th coditio z 3, th th last valu of z is qual to : z (A) 5/3 (B) 8/3 (C) /3 (D) o of ths 5 4. Th itgral,
More informationECEN620: Network Theory Broadband Circuit Design Fall 2014
ECE60: work Thory Broadbad Circui Dig Fall 04 Lcur 6: PLL Trai Bhavior Sam Palrmo Aalog & Mixd-Sigal Cr Txa A&M Uivriy Aoucm, Agda, & Rfrc HW i du oday by 5PM PLL Trackig Rpo Pha Dcor Modl PLL Hold Rag
More information10. Joint Moments and Joint Characteristic Functions
0 Joit Momts ad Joit Charactristic Fctios Followig sctio 6 i this sctio w shall itrodc varios paramtrs to compactly rprst th iformatio cotaid i th joit pdf of two rvs Giv two rvs ad ad a fctio g x y dfi
More informationSession : Plasmas in Equilibrium
Sssio : Plasmas i Equilibrium Ioizatio ad Coductio i a High-prssur Plasma A ormal gas at T < 3000 K is a good lctrical isulator, bcaus thr ar almost o fr lctros i it. For prssurs > 0.1 atm, collisio amog
More informationA VIEW FINDER CONTROL SYSTEM FOR AN EARTH OBSERVATION SATELLITE (ESA SP-582)
4S SYMPSUM 004 A VE FNDER CNRL SYSEM FR AN EARH BSERVAN SAELLE (ESA SP58). Hrma Sty () () Prof H Sty is with th Dpt Elctrical ad Elctroic Egirig, Uirsity of Stllbosch, Stllbosch 7600, South Africa (Email:
More informationChapter (8) Estimation and Confedence Intervals Examples
Chaptr (8) Estimatio ad Cofdc Itrvals Exampls Typs of stimatio: i. Poit stimatio: Exampl (1): Cosidr th sampl obsrvatios, 17,3,5,1,18,6,16,10 8 X i i1 17 3 5 118 6 16 10 116 X 14.5 8 8 8 14.5 is a poit
More informationRobust Speed Controller Design for Permanent Magnet Synchronous Motor Drives Based on Sliding Mode Control
Available online at www.sciencedirect.com ScienceDirect Energy Procedia 88 (2016 ) 867 873 CUE2015-Applied Energy Symposium and Summit 2015: ow carbon cities and urban energy systems Robust Speed Controller
More informationFAST ERROR WHITENING ALGORITHMS FOR SYSTEM IDENTIFICATION AND CONTROL
FAS ERROR WHIENING AGORIHMS FOR SYSEM IENIFICAION AN CONRO Yauaaa N. Rao, iz Erogmus, Gtha Y. Rao, Jos C. Pricip Computatioal NuroEgirig aborator, Uivrsit of Floria Gaisvill, F 36-630 E-mail: {au, iz,
More informationMixed Mode Oscillations as a Mechanism for Pseudo-Plateau Bursting
Mixd Mod Oscillatios as a Mchaism for Psudo-Platau Burstig Richard Brtram Dpartmt of Mathmatics Florida Stat Uivrsity Tallahass, FL Collaborators ad Support Thodor Vo Marti Wchslbrgr Joël Tabak Uivrsity
More informationAdditional Math (4047) Paper 2 (100 marks) y x. 2 d. d d
Aitional Math (07) Prpar b Mr Ang, Nov 07 Fin th valu of th constant k for which is a solution of th quation k. [7] Givn that, Givn that k, Thrfor, k Topic : Papr (00 marks) Tim : hours 0 mins Nam : Aitional
More informationBayesian Test for Lifetime Performance Index of Exponential Distribution under Symmetric Entropy Loss Function
Mathmatics ttrs 08; 4(): 0-4 http://www.scicpublishiggroup.com/j/ml doi: 0.648/j.ml.08040.5 ISSN: 575-503X (Prit); ISSN: 575-5056 (Oli) aysia Tst for iftim Prformac Idx of Expotial Distributio udr Symmtric
More informationDigital Signal Processing, Fall 2006
Digital Sigal Procssig, Fall 6 Lctur 9: Th Discrt Fourir Trasfor Zhg-Hua Ta Dpartt of Elctroic Systs Aalborg Uivrsity, Dar zt@o.aau.d Digital Sigal Procssig, I, Zhg-Hua Ta, 6 Cours at a glac MM Discrt-ti
More informationTechnical Support Document Bias of the Minimum Statistic
Tchical Support Documt Bias o th Miimum Stattic Itroductio Th papr pla how to driv th bias o th miimum stattic i a radom sampl o siz rom dtributios with a shit paramtr (also kow as thrshold paramtr. Ths
More informationFrequency Response & Digital Filters
Frquy Rspos & Digital Filtrs S Wogsa Dpt. of Cotrol Systms ad Istrumtatio Egirig, KUTT Today s goals Frquy rspos aalysis of digital filtrs LTI Digital Filtrs Digital filtr rprstatios ad struturs Idal filtrs
More informationOrdinary Differential Equations
Ordiary Diffrtial Equatio Aftr radig thi chaptr, you hould b abl to:. dfi a ordiary diffrtial quatio,. diffrtiat btw a ordiary ad partial diffrtial quatio, ad. Solv liar ordiary diffrtial quatio with fid
More informationProblem Value Score Earned No/Wrong Rec -3 Total
GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING ECE6 Fall Quiz # Writt Eam Novmr, NAME: Solutio Kys GT Usram: LAST FIRST.g., gtiit Rcitatio Sctio: Circl t dat & tim w your Rcitatio
More informationMathematical Modeling and Dynamic Simulation of a Class of Drive Systems with Permanent Magnet Synchronous Motors
Applied and Computational Mechanics 3 (2009) 331 338 Mathematical Modeling and Dynamic Simulation of a Class of Drive Systems with Permanent Magnet Synchronous Motors M. Mikhov a, a Faculty of Automatics,
More informationEmpirical Study in Finite Correlation Coefficient in Two Phase Estimation
M. Khoshvisa Griffith Uivrsity Griffith Busiss School Australia F. Kaymarm Massachustts Istitut of Tchology Dpartmt of Mchaical girig USA H. P. Sigh R. Sigh Vikram Uivrsity Dpartmt of Mathmatics ad Statistics
More informationCHAPTER 5d. SIMULTANEOUS LINEAR EQUATIONS
CHAPTE 5. SIUTANEOUS INEA EQUATIONS A. J. Crk Schoo of Egirig Dprtmt of Civi Eviromt Egirig by Dr. Ibrhim A. Asskkf Sprig ENCE - Compttio thos i Civi Egirig II Dprtmt of Civi Eviromt Egirig Uivrsity of
More informationFolding of Hyperbolic Manifolds
It. J. Cotmp. Math. Scics, Vol. 7, 0, o. 6, 79-799 Foldig of Hyprbolic Maifolds H. I. Attiya Basic Scic Dpartmt, Collg of Idustrial Educatio BANE - SUEF Uivrsity, Egypt hala_attiya005@yahoo.com Abstract
More informationMultiple Short Term Infusion Homework # 5 PHA 5127
Multipl Short rm Infusion Homwork # 5 PHA 527 A rug is aministr as a short trm infusion. h avrag pharmacokintic paramtrs for this rug ar: k 0.40 hr - V 28 L his rug follows a on-compartmnt boy mol. A 300
More informationSolution to 1223 The Evil Warden.
Solutio to 1 Th Evil Ward. This is o of thos vry rar PoWs (I caot thik of aothr cas) that o o solvd. About 10 of you submittd th basic approach, which givs a probability of 47%. I was shockd wh I foud
More informationThe calculation method for SNE
Elctroic Supplmtary Matrial (ESI) for RSC Advacs. This joural is Th Royal Socity of Chmistry 015 Th ulatio mthod for SNE (1) Slct o isothrm ad o rror fuctio (for xampl, th ERRSQ rror fuctio) ad gt th solvr
More informationWorksheet: Taylor Series, Lagrange Error Bound ilearnmath.net
Taylor s Thorm & Lagrag Error Bouds Actual Error This is th ral amout o rror, ot th rror boud (worst cas scario). It is th dirc btw th actual () ad th polyomial. Stps:. Plug -valu ito () to gt a valu.
More informationThomas J. Osler. 1. INTRODUCTION. This paper gives another proof for the remarkable simple
5/24/5 A PROOF OF THE CONTINUED FRACTION EXPANSION OF / Thomas J Oslr INTRODUCTION This ar givs aothr roof for th rmarkabl siml cotiud fractio = 3 5 / Hr is ay ositiv umbr W us th otatio x= [ a; a, a2,
More informationQ.28 Q.29 Q.30. Q.31 Evaluate: ( log x ) Q.32 Evaluate: ( ) Q.33. Q.34 Evaluate: Q.35 Q.36 Q.37 Q.38 Q.39 Q.40 Q.41 Q.42. Q.43 Evaluate : ( x 2) Q.
LASS XII Q Evlut : Q sc Evlut c Q Evlut: ( ) Q Evlut: Q5 α Evlut: α Q Evlut: Q7 Evlut: { t (t sc )} / Q8 Evlut : ( )( ) Q9 Evlut: Q0 Evlut: Q Evlut : ( ) ( ) Q Evlut : / ( ) Q Evlut: / ( ) Q Evlut : )
More informationGUC (Dr. Hany Hammad) 4/20/2016
GU (r. Hay Hamma) 4/0/06 Lctur # 0 Filtr sig y Th srti Lss Mth sig Stps Lw-pass prttyp sig. () Scalig a cvrsi. () mplmtati. Usig Stus. Usig High-Lw mpac Sctis. Thry f priic structurs. mag impacs a Trasfr
More informationGeometric Control of Multiple Quadrotors Transporting a Rigid-body Load
Gomtric Cotrol of Multipl Quadrotors Trasportig a Rigid-body Load Guofa Wu, Koushil Srath Abstract W addrss th problm of cooprativ trasportatio of a cabl-suspdd rigid-body payload by multipl quadrotors
More informationFigure 2-18 Thevenin Equivalent Circuit of a Noisy Resistor
.8 NOISE.8. Th Nyquist Nois Thorm W ow wat to tur our atttio to ois. W will start with th basic dfiitio of ois as usd i radar thory ad th discuss ois figur. Th typ of ois of itrst i radar thory is trmd
More informationSOLUTIONS TO CHAPTER 2 PROBLEMS
SOLUTIONS TO CHAPTER PROBLEMS Problm.1 Th pully of Fig..33 is composd of fiv portios: thr cylidrs (of which two ar idtical) ad two idtical co frustum sgmts. Th mass momt of irtia of a cylidr dfid by a
More informationy cos x = cos xdx = sin x + c y = tan x + c sec x But, y = 1 when x = 0 giving c = 1. y = tan x + sec x (A1) (C4) OR y cos x = sin x + 1 [8]
DIFF EQ - OPTION. Sol th iffrntial quation tan +, 0
More informationIntelligent PI Fuzzy Control of an Electro- Hydraulic Manipulator
INTERNATIONAL JOURNAL OF CONTROL, AUTOMATION AND SYSTEMS VOL.3 NO. April 014 ISSN 165-877 (Prit) ISSN 165-885 (Oli) http://www.rsarchpub.org/joural/jac/jac.html Itlligt PI Fuzzy Cotrol o a Elctro- Hydraulic
More informationCollisions between electrons and ions
DRAFT 1 Collisions btwn lctrons and ions Flix I. Parra Rudolf Pirls Cntr for Thortical Physics, Unirsity of Oxford, Oxford OX1 NP, UK This rsion is of 8 May 217 1. Introduction Th Fokkr-Planck collision
More informationINTRODUCTION TO SAMPLING DISTRIBUTIONS
http://wiki.stat.ucla.du/socr/id.php/socr_courss_2008_thomso_econ261 INTRODUCTION TO SAMPLING DISTRIBUTIONS By Grac Thomso INTRODUCTION TO SAMPLING DISTRIBUTIONS Itro to Samplig 2 I this chaptr w will
More informationStatistics 3858 : Likelihood Ratio for Exponential Distribution
Statistics 3858 : Liklihood Ratio for Expotial Distributio I ths two xampl th rjctio rjctio rgio is of th form {x : 2 log (Λ(x)) > c} for a appropriat costat c. For a siz α tst, usig Thorm 9.5A w obtai
More informationSensorless Torque and Speed Control of Traction Permanent Magnet Synchronous Motor for Railway Applications based on Model Reference Adaptive System
5 th SASTech 211, Khavaran Higher-education Institute, Mashhad, Iran. May 12-14. 1 Sensorless Torue and Speed Control of Traction Permanent Magnet Synchronous Motor for Railway Applications based on Model
More informationIVE(TY) Department of Engineering E&T2520 Electrical Machines 1 Miscellaneous Exercises
TRANSFORMER Q1 IE(TY) Dpartmnt of Enginring E&T50 Elctrical Machins 1 Miscllanous Exrciss Q Q3 A singl phas, 5 ka, 0/440, 60 Hz transformr gav th following tst rsults. Opn circuit tst (440 sid opn): 0
More informationBlackbody Radiation. All bodies at a temperature T emit and absorb thermal electromagnetic radiation. How is blackbody radiation absorbed and emitted?
All bodis at a tmpratur T mit ad absorb thrmal lctromagtic radiatio Blackbody radiatio I thrmal quilibrium, th powr mittd quals th powr absorbd How is blackbody radiatio absorbd ad mittd? 1 2 A blackbody
More informationAvailable online at Energy Procedia 4 (2011) Energy Procedia 00 (2010) GHGT-10
Availabl oli at www.scicdirct.com Ergy Procdia 4 (01 170 177 Ergy Procdia 00 (010) 000 000 Ergy Procdia www.lsvir.com/locat/procdia www.lsvir.com/locat/xxx GHGT-10 Exprimtal Studis of CO ad CH 4 Diffusio
More informationLearning objectives. Three models of aggregate supply. 1. The sticky-wage model 2. The imperfect-information model 3. The sticky-price model
Larig objctivs thr modls of aggrgat supply i which output dpds positivly o th pric lvl i th short ru th short-ru tradoff btw iflatio ad umploymt kow as th Phillips curv Aggrgat Supply slid 1 Thr modls
More informationHow many neutrino species?
ow may utrio scis? Two mthods for dtrmii it lium abudac i uivrs At a collidr umbr of utrio scis Exasio of th uivrs is ovrd by th Fridma quatio R R 8G tot Kc R Whr: :ubblcostat G :Gravitatioal costat 6.
More informationHybrid Intelligent Control of Ceramic Shuttle Kiln Firing Temperature
Itratioal Cofrc o Alid Mathmatics, Simulatio ad Modllig (AMSM 2016) Hybrid Itlligt Cotrol of Cramic Shuttl Kil Firig mratur Yoghog Zhu* ad Yifg Zhao School of Mchaical & Elctroic Egirig, Jigdzh Cramic
More informationFrequency Measurement in Noise
Frqucy Masurmt i ois Porat Sctio 6.5 /4 Frqucy Mas. i ois Problm Wat to o look at th ct o ois o usig th DFT to masur th rqucy o a siusoid. Cosidr sigl complx siusoid cas: j y +, ssum Complx Whit ois Gaussia,
More information6. Comparison of NLMS-OCF with Existing Algorithms
6. Compariso of NLMS-OCF with Eistig Algorithms I Chaptrs 5 w drivd th NLMS-OCF algorithm, aalyzd th covrgc ad trackig bhavior of NLMS-OCF, ad dvlopd a fast vrsio of th NLMS-OCF algorithm. W also mtiod
More informationDETERMINATION OF PRESSURE DROP IN HORIZONTAL PIPES FOR AIR WATER TWO PHASE FLOW
athmatica oi i Cii Eiri Vo. 9 No. 013 Doi: 10.478/mmc 013 0005 DETERINATION OF PRESSURE DROP IN HORIZONTAL PIPES FOR AIR WATER TWO PHASE FLOW ALINA FILIP Lcturr, Tchica Uirsity of Cii Eiri, Facuty of Buii
More informationSolution of Assignment #2
olution of Assignmnt #2 Instructor: Alirza imchi Qustion #: For simplicity, assum that th distribution function of T is continuous. Th distribution function of R is: F R ( r = P( R r = P( log ( T r = P(log
More informationControl Systems. Transient and Steady State Response.
Corol Sym Trai a Say Sa Ro chibum@oulch.ac.kr Ouli Tim Domai Aalyi orr ym Ui ro Ui ram ro Ui imul ro Chibum L -Soulch Corol Sym Tim Domai Aalyi Afr h mahmaical mol of h ym i obai, aalyi of ym rformac i.
More informationME 375 FINAL EXAM Friday, May 6, 2005
ME 375 FINAL EXAM Friay, May 6, 005 Divisio: Kig 11:30 / Cuigham :30 (circle oe) Name: Istructios (1) This is a close book examiatio, but you are allowe three 8.5 11 crib sheets. () You have two hours
More information