SMALL SIGNAL ANALYSIS OF FLEXIBLE AC TRANSMISSION SYSTEM USING INTERLINE POWER FLOW CONTROLLER (IPFC)
|
|
- Shonda Cameron
- 5 years ago
- Views:
Transcription
1 SALL SIGNAL ANALYSIS OF FLEIBLE AC RANSISSION SYSE USING INERLINE POWER FLOW CONROLLER (IPFC) CH. ENAA RISHNA REDDY,.RISHNA ENI, 3 G.ULASIRA DAS, 4 SIRAJ A. Prf., Dparm f EEE, CBI, Gaip, Hyraba, Iia Prf., Dparm f EEE, CBI, Gaip, Hyraba, Iia 3 Prf., Dparm f EEE, JNUH, Hyraba, Iia 4 E, Dparm f EEE, CBI, Hyraba, Iia c_h_v_k_r@yah.cm ABSRAC h Irli Pwr Flw Crllr (IPFC) i a vlag-urc-cvrr (SC)-ba flxibl ac ramii ym (FACS) crllr which ca ijc a vlag wih crllabl magiu a pha agl a h li-frqucy hrby prviig cmpai amg mulipl ramii li. I hi papr, h u f h IPFC ba crllr i ampig f lw frqucy cillai i iviga. A x Hffr-Phillip ml f a igl machi ifii bu (SIB) ym iall wih IPFC i ablih a u aalyz h ampig rqu cribui f h IPFC ampig crl h pwr ym. h pial f variu IPFC crl igal up h pwr ym cillai abiliy i iviga a uig crllabiliy ix. h ffc f hi ampig crllr h ym, ubjc wi variai i laig cii a ym paramr, i iviga. Rul f imulai ivigai i alab ar pr valia h prp apprach. y wr FACS, IPFC, Dampig, Small Sigal Sabiliy NOAIONS: P A : rafrr pwr f primary li, P B : rafrr pwr f cary li, P : al rafrr pwr f li, : rmial vlag f grar, I i : Dirc axi curr f li i, C : c lik capaciac H : iria ca ( = H) m i : ulai ix f ri cvrr δ i : Pha agl f ri cvrr vlag b : Ifii bu vlag c : lag a c lik : rmial vlag f h grar : Dirc axi rai ychru racac f grar A : AR Gai A : im ca f AR I iq : Quaraur axi curr f li i, : Dirc axi ay-a ychru racac f grar q : Quaraur axi ay-a ychru racac f grar, : Racac f ri cuplig rafrmr, 84
2 . INRODUCION Lw frqucy cillai wih frqucy i h rag f.. Hz ar f h rul f h ircci f larg pwr ym. m pwr ym ar abl if lcrmchaical cillai ccurrig i ach ara ca b amp a a pibl. icra pwr ym cillai abiliy, Pwr Sym Sabilizr (PSS) i a impl, ffciv, a cmical mh []. "Flxibl AC ramii Sym (FACS)" chlgy ha b prp urig h la hr ca a prvi br uilizai f xiig ym. Irig FACS capabilii uch a pwr flw crl, ampig f pwr ym cillai, vlag rgulai, a raciv pwr cmpai mak hm a g pi fr ffciv uilizai f pwr ym. I hi papr f h FACS capabilii i ampig ir-ara cillai ha will b accuraly iviga fr IPFC. Irli Pwr Flw Crllr, which i prp by Guygyi a al [] i l998, i a FACS crllr fr ri cmpai wih uiqu capabiliy f pwr flw maagm bw muli-li f a ubai. I h IPFC rucur a umbr f ivrr ar lik ghr a hir c rmial. Each ivrr ca prvi ri raciv cmpai, a a SSSC, fr i w li. Hwvr, h ivrr ca rafr ral pwr bw hm via hir cmm c rmial. hi capabiliy allw h IPFC prvi bh raciv a ral cmpai fr m f h li a hrby pimiz h uilizai f h vrall ramii ym. Lik hr FACS lm, IPFC ca b u fr icraig pwr ym abiliy agai larg a mall iurbac. I hi papr h vlag f cuplig capaciac bw w SC-ba cvrr i u a a a variabl. Oupu pwr f h grar i u a a ipu f PI crllr, which cra prpr ampliu mulai rai fr h cary cvrr.. DYNAIC ODEL OF HE SYSE WIH IPFC A igl-machi ifii-bu (SIB) ym wih IPFC, iall w li i cir. hi cfigurai which ci f w paralll ramii li, cc h grar G a ifii bu, i illura i figur. Figur Sigl achi Ifii Bu Sym Wih IPFC PSS i akig i accu i h pwr ym. Opraig cii a paramr ar rpr i h appix. Phillip-Hffr liar ml f a igl-machi ifii bu ym wih IPFC i riv frm h liar iffrial quai. Nglcig h riac f all h cmp f h ym lik grar, rafrmr, ramii li, a ri cvrr rafrmr, a liar yamic ml f h ym i riv a fllw: = ( ω ) δ ω () [ P P D( )] ω m ω = (). ( Eq E f )/ [ E f + A( rf )] A E q = + E f = / Whr, (3) (4) P = P + P (5) P = ( I + q E q = E q +( - I ) + ( I q + I q ) (6) )( I + I ) (7) = + j q (8) = q I q +j[ E q - ( I + I )] 84
3 If h gral Pul Wih ulai (PW) i u fr SC, h vlag quai f h IPFC cvrr i q cria will b []: p q = I I q + c m m cδ cδ (9) p q whr, = I I pq = p + j q = pq q + c m iδ m iδ () j k δ () [ I cδ + I δ ] c 3m = q i 4C 3m + I cδ + Iq iδ 4C Frm figur, w hav: = j [ ] () I + pq + j L I (3) hi quai i -q cria i a fllw: + j q = j [( I + I )+j( I q + I q )]+ +j L ( I +j I q )+ p + b iδ + jb cδ (4) I h hr ha, accrig figur, w hav: = q ( I q + I q ) (5) q = E q -( - )( I + I ) (6) Figur.Phar iagram f iviga ym Frm (6) (), i ca b bai: L q L whr, a li. L L q L I I I I c Eq m = c q q q = q + L = + iδ cδ ( m ) iδ m iδ (7) c m cδ + b iδ = ( ) c m cδ m cδ (8) (9) L () Κ = - L () = + q q L Κ () = (3) i h ri racac f ach ramii 3. LINEAR DYNAIC ODEL Pwr ym cillai abiliy a crl ca b ui uig a liariz ml f h pwr ym. b A liar yamic ml f h ym illura i figurl, i bai by liariig h liar ml f h ym pr i abv ci, 84
4 aru a praig cii. h liariz ml i a fllw: δ ω 4 E = q E f c A 7 pm qm + A cm vm 5 ω D p δ qδ A cδ vδ 3 A 8 6 pm A cm A qm vm pv qv A 9 vv δ ω E + q E f c pδ m δ qδ m δ vδ A cδ (4) I h a-pac rprai, h pwr ym ca b ml a = A + BU Whr h a vcr a crl vcr ar a fllw: = δ ω Eq E f U = m m δ δ m i h viai i pul wih mulai ix m f vlag ri cvrr- i li-. By crllig m, h magiu f ri ijc vlag i li- ca b crll. m i h viai i pul wih mulai ix m f vlag ri cvrr- i li-.by crllig m, h magiu f ri ijc vlag i li- ca b crll. δ i h viai i pha agl f h ijc vlag pq. δ i h viai i pha agl f h ijc vlag pq. c i h viai f cuplig capaciac vlag bw cvrr, Uig h mahmaical ml f h SIB wih IPFC a a pac rprai i (4), h c Phillip-Hffr ml r liar ml f h SIB ym ca b bai icluig IPFC [3]. Whr U = m m δ δ p = pm p pm δ pδ q = qm q qm δ qδ v = vm vδ vm vδ hi ml ha 8 ca, pr blw a, ar fuci f h ym paramr a iiial praig cii a blw.h ym i icrpra wih IPFC. La flw aalyi i prfrm bai h praig pi which i giv a fllw: P =.9, Q =.958 =. b = pq = =. 43 =.944 I = I =. 785 q δ = q δ = δ = h ym i liariz abu hi praig pi. h -ca fr h ym iall wih IPFC, ar cmpu a fllw: =.55 =. 43 =. 4 = =.85 = = = = pv = =.87 =. 6 qv pm =.55 pm =. 53 pδ =.376 pδ =. 45 qm =.36 qδ =. qm =.56 qδ =. 33 vm =.36 vδ =. 9 vm =.38 =. vv vδ 843
5 4 cm = =. cδ 67 cm =.87 =. 6 cδ 4. DESIGN OF IPFC DAPING CONROLLERS imprv h ampig f lw frqucy cillai h ampig crllr ar prvi pruc h aiial ampig rqu. h p viai ω i cir a h ipu h ampig crllr which rflc h wig h machi a li f ir. A uch, h upu f h crllr i i pha wih h p viai. Fig. 3 Srucur f IPFC ba ampig crllr h rucur f IPFC ba ampig crllr i hw i Fig.3. I ci f gai, igal wahu a pha cmpai blck. h pimum paramr f h ampig crllr ar bai uig h pha cmpai chiqu [4]. h ig i pr a blw. h im ca f h pha cmpar ar ch uch ha h pha agl f h ym i fully cmpa. Fr h mial praig cii, h magiu a pha agl f rafr fuci, P / U, will b cmpu fr jω =. h gai ig f h ampig crllr i ch achiv h rquir ampig rai f.. A brv frm (4) hr ar fur chic f ipu igal ( m, δ, m aδ ) f h IPFC mula. h igal which ca achiv ffciv ampig crl a miimum crl c will b h m ffici. hi lci i ma a p lp cii bfr iallai f ampig crllr. h ccp f crllabiliy ix i u lc h m uiabl IPFC crl paramr frm h ampig crllr fr mulai [5]. (). Cmpu h aural frqucy f cillai ω frm h mchaical lp a ω = ω (). L γ b h agl f h rafr fuci G ( ) P =,(pha lag f bw u a P u u = m, δ m a δ a, whr [ ] hw i Fig.4.5, a, jω =. (3). h crllr ig i ma up f wahu filr a la-lag blck, wih h fllwig rafr fuci: w + G ( ) = + + w w i h wahu filr im ca a i valu ca b ak a a umbr bw a c. Aum fr h la-lag wrk, = a, whr a = (+ iγ ) /( iγ ) a ( a ) ω =. h rquir gai ig fr h ir rai ξ i bai a, ξω =, whr c ( ) G c ( ) G ( ) ar valua a jω =. G a G ( ) h ig valu crrpig cillary m f h ym ar cmpu a giv i abl. Frm h abl, w brv ha h ym ci f bh lcal m a ir ara m. h ir ara m ar ufficily amp, whra, h lcal m ar lighly amp. abl : Eig alu Of h Sym Eig valu Dampig rai f Ocillary Naural frqucy f Ocillai(Hz) m.3 ± 9.84 j ± 4.5 j Fr h mial praig pi, h aural frqucy f cillai ω i qual 9.84j ra/c. hi m i rpibl fr h lw frqucy cillai f aru.5 Hz wih vry l ampig f.3. h ampig crllr ar ig prvi h aiial ampig. h paramr f h crllr ar cmpu aumig a ampig rai (ξ ) f.. h gai a 844
6 pha agl f ( ) cmpu a giv i abl. G fr h variu ipu ar c all h crl igal a a im. abl 4 giv h cmpu valu f h iic. abl : agiu A Pha Agl Of h rafr Fuci G c ( ) G ( ) ( ) c G c P m P δ P m P δ I ca b ha h pha agl f h ym fr h crl paramr δ i ar 8 hrfr h ym bcm uabl wh h crllr ( δ ) i u. hi crllr i cir i furhr ivigai. abl 3 hw paramr f h rmaiig hr alraiv ampig crllr cmpu a h mial praig pi. abl 3: Paramr Of h Ipfc Dampig Crllr Dampig crllr Dampig crllr m Dampig crllr δ Dampig crllr m abl 4: Crllabiliy Iic Wih Diffr Ipfc Crllabl Paramr IPFC crl paramr Crllabiliy Ix m.7974 m.8 δ.94 δ.455 abl 4 rval ha h crllabiliy ix m, i crrpig IPFC crl paramr high a ha f δ, i iigifica cmpar m h hr crl paramr. Hc, u = i h b lci fr h ig f h IPFC ampig crllr ic h miimum crl c (h lw gai) i prvi w, h ampig crllr ba m hall b a ampig crllr m. I h x chapr h yamic rp f h ym wih a wihu h ampig crllr m i ui. h yamic prfrmac f h ym i furhr xami cirig a ca i which w m, m ampig crllr pra imulauly (ual crllr). I h x chapr rp f ω wih h hr alraiv ampig crllr i imula. h rp f ω i bai wih a p prurbai f P =.. Simulai rul hw ha h m rp ar iical which iica ha ay f h IPFC ampig crllr, prvi aifacry prfrmac a h mial praig pi. Hwvr, i rr lc h m ffciv IPFC crl igal fr ampig, h crllabiliy ix i cmpu. h ix i cmpu fr h lcrmchaical m ( 9.84jra/c) b amp akig i accu Fig. 4 rafr fuci f h ym rlaig cmp f lcrical pwr P pruc by ampig crllr u 845
7 abl 5: Phillip-Hffr l Ca Fr Sym Wihu Ipfc i i DIGIAL SIULAION I rr ura h ffc f IPFC ampig lw frqucy cillai, igial imulai uig alab Simulik lbx i i w ca, wih a wihu IPFC.h blck iagram f fig 7 i u i mall igal abiliy ivigai f h pwr ym. h ALAB Simulik lbx i u uy h ym prfrmac ur iffr ampig crllr. Fllwig figur hw h rul f SIB wih iffr ampig crllr. h rr p viai a rr agl viai, rpcivly fr iffr ampig crllr ar ui. h ampig crllr ar ig by w mh. ) h p viai ( ω) i u a ipu igal fr ig f ampig crllr uig pha cmpai chiqu [4]. ) h lcrical pwr i ak a ipu fr h ig f PI-Dampig crllr [3,8]. 6. SIULAION RESULS R r a g l v ia i (ra ) im (c) Fig 6. Rr agl viai fr wihu IPFC R r p v i a i ( r a / c ).5 x =., im (c) =., wihu Fig 7 Rr Sp viai fr R r a g l v i a i ( r a ) ( m )IPFC crllr im (c) Fig 8. Rr agl viai fr wihu ( m ) IPFC crllr =., Rr p viai (ra/c ).5 x im (c) Fig 5. Rr p viai fr wihu IPFC =., R r p v a i ( r a / c ).5 x im (c) Fig 9. Rr p viai fr wih ( m =., ) yp ampig crllr 846
8 R r a g l v i a i ( r a ) im (c) Fig Rr agl viai fr R r p v i a i ( r a / c ) R r a g l v i a i ( r a ).5 x ( m ) yp ampig crllr =., wih im (c) R r p v i a i ( r a / c ) Fig Rr p viai fr =., wih ( m ) yp ampig crllr im (c).5 x Fig Rr agl viai fr =., wih ( m ) yp ampig crllr im (c) Fig 3. Rr p viai fr δ =., wih ( ) yp ampig crllr R r a g l v ia i ( ra ) R r p v i a i ( r a / c ) R r p v i a i ( r a / c ) im (c) x -5 5 Fig 4. Rr agl viai fr δ =., wih ( ) yp ampig crllr im (c) R r a g l v i a i ( r a ) 6 4 =., wih ual ampig crllr Fig 5. Rr p viai fr 8 x im (c).5 x =., wih ual ampig crllr Fig 6. Rr agl viai fr im (c) Fig 7. Rr p viai a P =., wih ( m ) yp ampig crllr 847
9 Fig 8. Rr p viai a ( m ) yp ampig crllr P =, wih Fig Rr Sp viai fr ( m ) PI yp ampig crllr =., wih =., wih ( m ) yp PI-ampig crllr Fig 9 Rr p viai fr Fig. Rr agl viai fr wih ( m =., ) PI yp ampig crllr =., wih ( m ) yp PI- ampig crllr Fig. Rr agl viai fr Fig 3 Rr p viai fr δ wih( ) PI yp ampig crllr =., 848
10 h pwr ym wihu IPFC, wih IPFC ar bai a cmpar. Fig 4 Rr agl viai fr δ wih( ) PI yp ampig crllr Fig 5 Rr p viai fr ual ampig crllr =., =., wih PI- IPFC a a muliak crllr, ha a ffciv rl i ampig lw frqucy cillai. I hi hi, hi fuci f IPFC ha b iviga a umrical rul mphaiz i igifica ffc. I fac, v hr i ay ampig cffici i pwr ym, IPFC ca amp lw frqucy cillai. h ffc ar craig h ampliu a frqucy f pwr ym cillai. rvr i amp cillai far i cmpari wh hr i IPFC i h ym. h crllabiliy ix crrpig IPFC crl paramr m, i high a ha f δ, i iigifica cmpar h hr crl paramr. Hc, u = m i h b lci fr h ig f h IPFC ampig crllr ic h miimum crl c (h lw gai) i prvi, h ampig crllr ba m. Dyamic imulai rul hav mphaiz ha h ampig crllr which mula h crl igal m prvi aifacry yamic Prfrmac ur wi variai i laig cii a ym paramr. h rp f h SIB iall wih IPFC ba Dual cvrr i imprv wh cmpar wihu IPFC a iiviual ( m, δ,a m ) yp ampig crllr. Rp f SIB wih IPFC fr p prurbai i =.,a rf =. i g wih Dual crllr. Fig 6 Rr agl viai fr =., wih PIual ampig crllr 7. CONCLUSIONS h IPFC ba ampig crllr i ig fr w iffr ca. h upu f h lig im fr PI- ampig crllr i mr a cmpar Phacmpai ba ampig crllr. Pha-cmpai ba ampig crllr amp cillai far i cmpari wih PI-crllr. 849
11 abl 6: Cmpari f Slig im fr w ca IPFC ampig crllr PI Crllr Pha Cmpai m c 4.5 c -yp crllr δ -yp crllr c 5 c m 9 c 4 c -yp crllr Dual cvrr 8 c 3 c APPENDI h ym aa a iiial praig cii f h ym ar a fllw: Grar: = H = 8. J/A D = ; = 5.44; =.pu; =.3pu; q =.6pu ; P =.9; Q =.958 ; =.; b = [3] H.F.Hag, "DESIGN OF SSSC DAPING CONROLLER O IPROE POWER SYSE OSCILLAION SABILIY", 999EEE. [4] N.amby a.l.hari, "DAPING OF POWER SYSE OSCILLAION WIH UNIFIED POWER FLOW CONROLLER", IEE Prc.-Gr. ram. Dirib. l.5, N., arch 3. [5] "FLEIBLE AC RANSISSION SYSES (FACS)", IEE Pr, L 999. [6].. Pail, J. Shil, J. Jiag a R.. ahur, Applicai f SACO fr Dampig rial Ocillai i Sri Cmpa AC Sym, IEEE raaci Ergy Cvri, vl. 3, N. 3, Spmbr 998, pp [7] H.F.Wag a F.J.Swif, A Uifi l fr h Aalyi f FACS Dvic i Dampig Pwr Sym Ocillai Par I: Sigl- achi Ifii-bu Pwr Sym, IEEE raaci Pwr Dlivry, vl., N., April 997, pp [8] L. Fa a A. Fliachi, Rbu CSC Crl Dig fr Dampig Ir-Ara Ocillai, Prcig f IEEE PES Summr ig, acuvr, Briih Clumbia, Caaa, July 5-9,. Exciai ym: Cvrr rafrmr: A = 5; =.l pu A =.5 Cvrr paramr: m =.5; m =.; ramii li rafrmr: =.5 pu; =.5 pu L DC lik paramr: REFERENCES c =. pu; C = pu [] Ya-a Yu, "ELECRIC POWER SYSE DYNAICS", Nw Yrk, Acamic Pr, Ic., 983 [] Guygyi & al " HE INERLINE POWER FLOW CONROLLER CONCEP: A NEW APPROACH O POWER FLOW ANAGEEN IN RANSISSION SYSES", IEEE raaci Pwr Dlivry, l. 4, N. 3, July
12 Fig 7. Phillip-Hffr l (Liari l) Of A Sigl-achi Ifii-Bu (SIB) Sym Wih IPFC 85
ECEN620: 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 informationBMM3553 Mechanical Vibrations
BMM3553 Mhaial Vibraio Chapr 3: Damp Vibraio of Sigl Dgr of From Sym (Par ) by Ch Ku Ey Nizwa Bi Ch Ku Hui Fauly of Mhaial Egirig mail: y@ump.u.my Chapr Dripio Ep Ouom Su will b abl o: Drmi h aural frquy
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 informationNote 6 Frequency Response
No 6 Frqucy Rpo Dparm of Mchaical Egirig, Uivriy Of Sakachwa, 57 Campu Driv, Sakaoo, S S7N 59, Caada Dparm of Mchaical Egirig, Uivriy Of Sakachwa, 57 Campu Driv, Sakaoo, S S7N 59, Caada. alyical Exprio
More informationFrequency Response. Lecture #12 Chapter 10. BME 310 Biomedical Computing - J.Schesser
Frquncy Rspns Lcur # Chapr BME 3 Bimdical Cmpuing - J.Schssr 99 Idal Filrs W wan sudy Hω funcins which prvid frquncy slciviy such as: Lw Pass High Pass Band Pass Hwvr, w will lk a idal filring, ha is,
More informationA Technique for Enhancement of Power System Dynamic Stability
International Journal of Engineering Science Invention arch. 3 A Technique for Enhancement of Power System Dynamic Stability Dr. Ramesh Kumar, ithilesh Das, R.K.andal 3, Ruchita 4 National Institute of
More informationLectur 22. RF and Microwave Circuit Design Γ-Plane and Smith Chart Analysis. ECE 303 Fall 2005 Farhan Rana Cornell University
ctur RF ad Micrwav Circuit Dig -Pla ad Smith Chart Aalyi I thi lctur yu will lar: -pla ad Smith Chart Stub tuig Quartr-Wav trafrmr ECE 33 Fall 5 Farha Raa Crll Uivrity V V Impdac Trafrmati i Tramii i ω
More informationPupil / Class Record We can assume a word has been learned when it has been either tested or used correctly at least three times.
2 Pupi / Css Rr W ssum wr hs b r wh i hs b ihr s r us rry s hr ims. Nm: D Bu: fr i bus brhr u firs hf hp hm s uh i iv iv my my mr muh m w ih w Tik r pp push pu sh shu sisr s sm h h hir hr hs im k w vry
More informationA L A BA M A L A W R E V IE W
A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N
More informationMAT3700. Tutorial Letter 201/2/2016. Mathematics III (Engineering) Semester 2. Department of Mathematical sciences MAT3700/201/2/2016
MAT3700/0//06 Tuorial Lr 0//06 Mahmaics III (Egirig) MAT3700 Smsr Dparm of Mahmaical scics This uorial lr coais soluios ad aswrs o assigms. BARCODE CONTENTS Pag SOLUTIONS ASSIGNMENT... 3 SOLUTIONS ASSIGNMENT...
More informationLM A F LABL Y H FRMA H P UBLCA B LV B ACCURA ALL R PC H WVR W C A AU M RP BLY FR AY C QUC RUL G F RM H U HR F H FRMA C A HR UBJC CHA G WHU C R V R W H
H R & C C M RX700-2 Bx C LM A F LABL Y H FRMA H P UBLCA B LV B ACCURA ALL R PC H WVR W C A AU M RP BLY FR AY C QUC RUL G F RM H U HR F H FRMA C A HR UBJC CHA G WHU C R V R W H PUBLCA M AY B U CRP RA UCH
More information1973 AP Calculus BC: Section I
97 AP Calculus BC: Scio I 9 Mius No Calculaor No: I his amiaio, l dos h aural logarihm of (ha is, logarihm o h bas ).. If f ( ) =, h f ( ) = ( ). ( ) + d = 7 6. If f( ) = +, h h s of valus for which f
More informationEE Control Systems LECTURE 11
Up: Moy, Ocor 5, 7 EE 434 - Corol Sy LECTUE Copyrigh FL Lwi 999 All righ rrv POLE PLACEMET A STEA-STATE EO Uig fc, o c ov h clo-loop pol o h h y prforc iprov O c lo lc uil copor o oi goo y- rcig y uyig
More informationMathematical Preliminaries for Transforms, Subbands, and Wavelets
Mahmaical Prlimiaris for rasforms, Subbads, ad Wavls C.M. Liu Prcpual Sigal Procssig Lab Collg of Compur Scic Naioal Chiao-ug Uivrsiy hp://www.csi.cu.du.w/~cmliu/courss/comprssio/ Offic: EC538 (03)5731877
More informationChapter4 Time Domain Analysis of Control System
Chpr4 im Domi Alyi of Corol Sym Rouh biliy cririo Sdy rror ri rpo of h fir-ordr ym ri rpo of h cod-ordr ym im domi prformc pcificio h rliohip bw h prformc pcificio d ym prmr ri rpo of highr-ordr ym Dfiiio
More informationPhysics 160 Lecture 3. R. Johnson April 6, 2015
Physics 6 Lcur 3 R. Johnson April 6, 5 RC Circui (Low-Pass Filr This is h sam RC circui w lookd a arlir h im doma, bu hr w ar rsd h frquncy rspons. So w pu a s wav sad of a sp funcion. whr R C RC Complx
More informationNON-LINEAR PARAMETER ESTIMATION USING VOLTERRA SERIES WITH MULTI-TONE EXCITATION
NON-LINER PRMETER ESTIMTION USING VOLTERR SERIES WIT MULTI-TONE ECITTION imsh Char Dparm of Mchaical Egirig Visvsvaraya Rgioal Collg of Egirig Nagpur INDI-00 Naliash Vyas Dparm of Mchaical Egirig Iia Isiu
More informationLecture 14. Time Harmonic Fields
Lcu 4 Tim amic Filds I his lcu u will la: Cmpl mahmaics f im-hamic filds Mawll s quais f im-hamic filds Cmpl Pig vc C 303 Fall 007 Faha aa Cll Uivsi Tim-amic Filds ad -filds f a pla wav a (fm las lcu:
More informationChain DOUBLE PITCH TYPE RS TYPE RS POLY-STEEL TYPE
d Fr Flw OULE IC YE YE OLY-EEL YE Oubard wh d s (d ) s usd fr fr flw vya. Usually w srads ar usd h qupm. d s basd sadard rllr ha wh sd rllrs salld xdd ps. hr ar hr yps f bas ha: (1) ubl ph rllr ha wh sadard
More informationFourier Series: main points
BIOEN 3 Lcur 6 Fourir rasforms Novmbr 9, Fourir Sris: mai pois Ifii sum of sis, cosis, or boh + a a cos( + b si( All frqucis ar igr mulipls of a fudamal frqucy, o F.S. ca rprs ay priodic fucio ha w ca
More informationOpening. Monster Guard. Grades 1-3. Teacher s Guide
Tcr Gi 2017 Amric R Cr PLEASE NOTE: S m cml Iiii ci f Mr Gr bfr y bgi i civiy, i rr gi cc Vlc riig mii. Oig Ifrm y r gig lr b vlc y f vlc r. Exli r r vlc ll vr rl, i Ui S, r, iclig Alk Hii, v m civ vlc.
More informationP a g e 5 1 of R e p o r t P B 4 / 0 9
P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e
More informationCS 326e F2002 Lab 1. Basic Network Setup & Ethereal Time: 2 hrs
CS 326 F2002 Lab 1. Bai Nwk Sup & Ehal Tim: 2 h Tak: 1 (10 mi) Vify ha TCP/IP i iall ah f h mpu 2 (10 mi) C h mpu gh via a wih 3 (10 mi) Obv h figuai f ah f h NIC f ah mpu 4 (10 mi) Saially figu a IP a
More informationInfinite Continued Fraction (CF) representations. of the exponential integral function, Bessel functions and Lommel polynomials
Ifii Coiu Fraio CF rraio of h oial igral fuio l fuio a Lol olyoial Coiu Fraio CF rraio a orhogoal olyoial I hi io w rall h rlaio bw ifi rurry rlaio of olyoial orroig orhogoaliy a aroria ifii oiu fraio
More information3.2. Derivation of Laplace Transforms of Simple Functions
3. aplac Tarform 3. PE TRNSFORM wid rag of girig ym ar modld mahmaically by uig diffrial quaio. I gral, h diffrial quaio of h ordr ym i wri: d y( a d d d y( dy( a a y( f( (3. d Which i alo ow a a liar
More informationSome Families of Higher Order Three-Step Iterative Techniques. where is a real number and y (5)
Lif Scic Jural 03;0s http://www.lifscicsit.cm Sm Familis f Highr Orr Thr-Stp Itrativ Tchiqus Nair Ahma Mir Sahr Akmal Kha Naila Rafiq Nusrut Yasmi. Dpartmt f Basic Scics Riphah Itratial Uivrsit Islamaba
More informationPerformance Optimization in SMF with PMD and PDL using MPO Technique
S.Viayagapriya.al / Idia Jural f Cmpur Scic ad girig IJCS Prfrmac Opimizai i SMF ih PMD ad PDL usig MPO chiqu S.VINAYAGAPRIYA SahyabamaUivrsiy, Faculy f lcrics, S. Jsph s Cllg f girig, Dparm f C, Chai,
More informationResponse of LTI Systems to Complex Exponentials
3 Fourir sris coiuous-im Rspos of LI Sysms o Complx Expoials Ouli Cosidr a LI sysm wih h ui impuls rspos Suppos h ipu sigal is a complx xpoial s x s is a complx umbr, xz zis a complx umbr h or h h w will
More informationEven/Odd Mode Analysis of the Wilkinson Divider
//9 Wilkinn Dividr Evn and Odd Md Analyi.dc / Evn/Odd Md Analyi f th Wilkinn Dividr Cnidr a matchd Wilkinn pwr dividr, with a urc at prt : Prt Prt Prt T implify thi chmatic, w rmv th grund plan, which
More informationFinal Exam : Solutions
Comp : Algorihm and Daa Srucur Final Exam : Soluion. Rcuriv Algorihm. (a) To bgin ind h mdian o {x, x,... x n }. Sinc vry numbr xcp on in h inrval [0, n] appar xacly onc in h li, w hav ha h mdian mu b
More informationPart B: Transform Methods. Professor E. Ambikairajah UNSW, Australia
Par B: rasform Mhods Profssor E. Ambikairaah UNSW, Ausralia Chapr : Fourir Rprsaio of Sigal. Fourir Sris. Fourir rasform.3 Ivrs Fourir rasform.4 Propris.4. Frqucy Shif.4. im Shif.4.3 Scalig.4.4 Diffriaio
More information, University. 1and. y T. since. g g
UADPhilEc, Dp. f Ecmics,, Uivsi f Ahss Lcu: Nichlas J. hcaakis Dcmb 2 Ec Advacd Maccmic h I: Mdul : Gwh G ad Ccls Basic wh mah im vaiabls. 2. Disc vaiabls Scks (a a pi f im,.. labu fc) ad Flws ( i a pid
More informationIt is quickly verified that the dynamic response of this system is entirely governed by τ or equivalently the pole s = 1.
Tim Domai Prforma I orr o aalyz h im omai rforma of ym, w will xami h hararii of h ouu of h ym wh a ariular iu i ali Th iu w will hoo i a ui iu, ha i u ( < Th Lala raform of hi iu i U ( Thi iu i l bau
More informationAdvanced Engineering Mathematics, K.A. Stroud, Dexter J. Booth Engineering Mathematics, H.K. Dass Higher Engineering Mathematics, Dr. B.S.
Rfrc: (i) (ii) (iii) Advcd Egirig Mhmic, K.A. Sroud, Dxr J. Booh Egirig Mhmic, H.K. D Highr Egirig Mhmic, Dr. B.S. Grwl Th mhod of m Thi coi of h followig xm wih h giv coribuio o h ol. () Mid-rm xm : 3%
More informationSignals & Systems - Chapter 3
.EgrCS.cm, i Sigls d Sysms pg 9 Sigls & Sysms - Chpr S. Ciuus-im pridic sigl is rl vlud d hs fudml prid 8. h zr Furir sris cfficis r -, - *. Eprss i h m. cs A φ Slui: 8cs cs 8 8si cs si cs Eulrs Apply
More informationT h e C S E T I P r o j e c t
T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T
More informationS.Y. B.Sc. (IT) : Sem. III. Applied Mathematics. Q.1 Attempt the following (any THREE) [15]
S.Y. B.Sc. (IT) : Sm. III Applid Mahmaics Tim : ½ Hrs.] Prlim Qusion Papr Soluion [Marks : 75 Q. Amp h following (an THREE) 3 6 Q.(a) Rduc h mari o normal form and find is rank whr A 3 3 5 3 3 3 6 Ans.:
More informationPoisson Arrival Process
Poisso Arrival Procss Arrivals occur i) i a mmylss mar ii) [ o arrival durig Δ ] = λδ + ( Δ ) P o [ o arrival durig Δ ] = λδ + ( Δ ) P o P j arrivals durig Δ = o Δ f j = 2,3, o Δ whr lim =. Δ Δ C C 2 C
More informationExecutive Summary JARRETT WALKER + ASSOCIATES SEPTA. Philadelphia Bus Network Choices Report
Excuiv Suar JRRETT WLKER + SSOCITES 7 Philalphia u Nwrk Chic Rpr r v l kigh a ca xfr r ca ig r ri l harbi k fr car harbi fra bra 16h 7h bra ig rg r a hl fr k fra a bu bra l bu fr k fra 34h rgh b uk pa
More informationPoisson Arrival Process
1 Poisso Arrival Procss Arrivals occur i) i a mmorylss mar ii) [ o arrival durig Δ ] = λδ + ( Δ ) P o [ o arrival durig Δ ] = 1 λδ + ( Δ ) P o P j arrivals durig Δ = o Δ for j = 2,3, ( ) o Δ whr lim =
More informationInstructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems
Inrucor Soluion for Aignmn Chapr : Tim Domain Anali of LTIC Sm Problm i a 8 x x wih x u,, an Zro-inpu rpon of h m: Th characriic quaion of h LTIC m i i 8, which ha roo a ± j Th zro-inpu rpon i givn b zi
More informationNaive Parameter Estimation Technique of Equity Return Models Based on Short and Long Memory Processes
6 pp.-6 004 Naiv Paramr Eimaio Tchiqu of Equiy Rur Mol Ba o Shor a Log Mmory Proc Koichi Miyazai Abrac Th aalyi o variac of Japa quiy rur from h poi of obrvaio irval i qui fw hough i i impora i maagig
More informationWireless & Hybrid Fire Solutions
ic b 8 c b u i N5 b 4o 25 ii p f i b p r p ri u o iv p i o c v p c i b A i r v Hri F N R L L T L RK N R L L rr F F r P o F i c b T F c c A vri r of op oc F r P, u icoc b ric, i fxib r i i ribi c c A K
More informationIntegrated Optical Waveguides
Su Opls Faha Raa Cll Uvs Chap 8 Ia Opal Wavus 7 Dl Slab Wavus 7 Iu: A va f ff a pal wavus a us f a u lh a hp Th s bas pal wavu s a slab wavus shw blw Th suu s uf h - Lh s u s h b al al fl a h -la fas Cla
More informationLinear Systems Analysis in the Time Domain
Liar Sysms Aalysis i h Tim Domai Firs Ordr Sysms di vl = L, vr = Ri, d di L + Ri = () d R x= i, x& = x+ ( ) L L X() s I() s = = = U() s E() s Ls+ R R L s + R u () = () =, i() = L i () = R R Firs Ordr Sysms
More informationA Linear Programming Approach for Calculation of All Stabilizing Parameters of Lead-Lag Compensator for Continuous-Time Plants
A Liar Prgrammig Apprach r Calculai All Sabilizig Paramrs Lad-Lag Cmpsar r Ciuus-Tim Plas MAHDI JALILI-KHARAAJOO Yug Rsarchs Cr Azad Uivrsiy, Ira P.O. Bx 395/355, Thra, Ira Absrac: - I h papr, a w mhd
More informationTransfer function and the Laplace transformation
Lab No PH-35 Porland Sa Univriy A. La Roa Tranfr funcion and h Laplac ranformaion. INTRODUTION. THE LAPLAE TRANSFORMATION L 3. TRANSFER FUNTIONS 4. ELETRIAL SYSTEMS Analyi of h hr baic paiv lmn R, and
More information15. Numerical Methods
S K Modal' 5. Numrical Mhod. Th quaio + 4 4 i o b olvd uig h Nwo-Rapho mhod. If i ak a h iiial approimaio of h oluio, h h approimaio uig hi mhod will b [EC: GATE-7].(a (a (b 4 Nwo-Rapho iraio chm i f(
More informationImproved Exponential Estimator for Population Variance Using Two Auxiliary Variables
Improvd Epoal Emaor for Populao Varac Ug Two Aular Varabl Rajh gh Dparm of ac,baara Hdu Uvr(U.P., Ida (rgha@ahoo.com Pakaj Chauha ad rmala awa chool of ac, DAVV, Idor (M.P., Ida Flor maradach Dparm of
More informationRapid growth in enrolment within the French Immersion program
Nw Nh Ajx Fch Ii ch- Ovviw R Di PS p i Spb 2009 u ck Egih Fch Ii ch Egih Fch Ii Y E E Pb 2009 333 197 0 2010 405 281 2 2011 431 332 6 2012 466 409 10 2013 486 474 14 Rpi gwh i wihi h Fch Ii pg Pp c Fch
More informationUNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS
Answr Ky Nam: Da: UNIT # EXPONENTIAL AND LOGARITHMIC FUNCTIONS Par I Qusions. Th prssion is quivaln o () () 6 6 6. Th ponnial funcion y 6 could rwrin as y () y y 6 () y y (). Th prssion a is quivaln o
More information5 H o w t o u s e t h e h o b 1 8
P l a s r a d h i s m a n u a l f i r s. D a r C u s m r, W w u l d l i k y u bb a si n p r hf r m a n cf r m y u r p r d u c h a h a s b n m a n u f a c u r d m d r n f a c i l iu n id s r s r i c q u
More informationNumerical Simulation for the 2-D Heat Equation with Derivative Boundary Conditions
IOSR Joural of Applid Chmisr IOSR-JAC -ISSN: 78-576.Volum 9 Issu 8 Vr. I Aug. 6 PP 4-8 www.iosrjourals.org Numrical Simulaio for h - Ha Equaio wih rivaiv Boudar Codiios Ima. I. Gorial parm of Mahmaics
More informationPractice papers A and B, produced by Edexcel in 2009, with mark schemes. Practice Paper A. 5 cosh x 2 sinh x = 11,
Prai paprs A ad B, produd by Edl i 9, wih mark shms Prai Papr A. Fid h valus of for whih 5 osh sih =, givig your aswrs as aural logarihms. (Toal 6 marks) k. A = k, whr k is a ral osa. 9 (a) Fid valus of
More informationERROR SPACE MOTION CONTROL METHODOLOGY FOR COMPLEX CONTOURS. Robert G. Landers
ERROR SPACE MOION CONROL MEHODOLOGY FOR COMPLEX CONOURS Rb G. L Ai J f C. 7, N., pp. -8, Mh 5 Ai J f C,. 7, N., pp. -8, Mh 5 ERROR SPACE MOION CONROL MEHODOLOGY FOR COMPLEX CONOURS Rb G. L ABSRAC Mi i
More informationNAME: ANSWER KEY DATE: PERIOD. DIRECTIONS: MULTIPLE CHOICE. Choose the letter of the correct answer.
R A T T L E R S S L U G S NAME: ANSWER KEY DATE: PERIOD PREAP PHYSICS REIEW TWO KINEMATICS / GRAPHING FORM A DIRECTIONS: MULTIPLE CHOICE. Chs h r f h rr answr. Us h fgur bw answr qusns 1 and 2. 0 10 20
More informationContinous system: differential equations
/6/008 Coious sysm: diffrial quaios Drmiisic modls drivaivs isad of (+)-( r( compar ( + ) R( + r ( (0) ( R ( 0 ) ( Dcid wha hav a ffc o h sysm Drmi whhr h paramrs ar posiiv or gaiv, i.. giv growh or rducio
More informationContinuous-Time Fourier Transform. Transform. Transform. Transform. Transform. Transform. Definition The CTFT of a continuoustime
Ctiuus-Tim Furir Dfiiti Th CTFT f a ctiuustim sigal x a (t is giv by Xa ( jω xa( t jωt Oft rfrrd t as th Furir spctrum r simply th spctrum f th ctiuus-tim sigal dt Ctiuus-Tim Furir Dfiiti Th ivrs CTFT
More informationVIRGINIA PORT AUTHORITY
5 K Y PV Y F RW R R (UR RU) R - VR,, VY P - RV - R 4 - P 5 - P 6-4 R PY P 7-5 YP PV. R V W. P 7/ P V W. V PRJ RR V PRJ W. FU 9 - FU P - FU R K R X PY RFR UR RV R RW PRJ PF RWR P -, R RV - R P -4 R P 4-5
More informationSolutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π
Soluios Maual. (a) (b) (c) (d) (e) (f) (g) liear oliear liear liear oliear oliear liear. The Fourier Series is: F () 5si( ) ad he fudameal frequecy is ω f ----- H z.3 Sice V rms V ad f 6Hz, he Fourier
More informationAnalysis of Dynamic Systems
ME 43 Syem Dyamic & Corol Chaper 8: Time Domai Aalyi of Dyamic Syem Syem Chaper 8 Time-Domai Aalyi of Dyamic Syem 8. INTRODUCTION Pole a Zero of a Trafer Fucio A. Bazoue Pole: The pole of a rafer fucio
More information) and furthermore all X. The definition of the term stationary requires that the distribution fulfills the condition:
Assigm Thomas Aam, Spha Brumm, Haik Lor May 6 h, 3 8 h smsr, 357, 7544, 757 oblm For R b X a raom variabl havig ormal isribuio wih ma µ a variac σ (his is wri as ~ (,) X. by: R a. Is X ) a urhrmor all
More informationELEC 372 LECTURE NOTES, WEEK 11 Dr. Amir G. Aghdam Concordia University
ELEC 37 LECTURE NOTES, WEE Dr Amir Aghdam Cncrdia Univrity Part f th nt ar adaptd frm th matrial in th fllwing rfrnc: Mdrn Cntrl Sytm by Richard C Drf and Rbrt H Bihp, Prntic Hall Fdback Cntrl f Dynamic
More informationChapter 3 Linear Equations of Higher Order (Page # 144)
Ma Modr Dirial Equaios Lcur wk 4 Jul 4-8 Dr Firozzama Darm o Mahmaics ad Saisics Arizoa Sa Uivrsi This wk s lcur will covr har ad har 4 Scios 4 har Liar Equaios o Highr Ordr Pag # 44 Scio Iroducio: Scod
More informationPHASE 2 C 2.20 INTERIM GRADING PLAN EDGEWATER HEIGHTS WAY (PHASE 2) EDGEWATER HEIGHTS CITY OF MUSKEGO, WI SEE SHEET C 2.21 LEGEND O.L.
S SH C L 'Y' RACIN AVN U / C H AY S H I RH A RAIN NS: BASIN # N: LCA BY LAN & ARAY CNSULIN LLC N CBR,,, AN, NN-RAAY RAIN SHN SHUL B CNSIR INRIM AN RPRSNS H RAS HA H CNRACR SHUL LAV H SI HN RAIN IS FINISH
More informationStability. Outline Stability Sab Stability of Digital Systems. Stability for Continuous-time Systems. system is its stability:
Oulie Sabiliy Sab Sabiliy of Digial Syem Ieral Sabiliy Exeral Sabiliy Example Roo Locu v ime Repoe Fir Orer Seco Orer Sabiliy e Jury e Rouh Crierio Example Sabiliy A very impora propery of a yamic yem
More informationChapter 8: Propagating Quantum States of Radiation
Quum Opcs f hcs Oplccs h R Cll Us Chp 8: p Quum Ss f R 8. lcmc Ms Wu I hs chp w wll cs pp quum ss f wus fs f spc. Cs h u shw lw f lcc wu. W ssum h h wu hs l lh qul h -c wll ssum l. Th lcc cs s fuc f l
More informationCampsites are approximately 20 wide x 50 deep. Campsites must be paid for when the site is staked.
SHOTGUN MPSITE OOTE (SUNDY, SEPTEMBE 23) LST EVENT O 2018 SUPE SHOE WEEKEND (SEPTEMBE 28 30) NIGHT O DESTUTION. PHOTOS! I h Spr Sh p. Th rf w d 2:00 PM r h Sh r d h f f f (d f f f) dh h prf p. O hr, yr.
More informationBoyce/DiPrima 9 th ed, Ch 7.9: Nonhomogeneous Linear Systems
BoDiPrima 9 h d Ch 7.9: Nohomogou Liar Sm Elmar Diffrial Equaio ad Boudar Valu Prolm 9 h diio William E. Bo ad Rihard C. DiPrima 9 Joh Wil & So I. Th gral hor of a ohomogou m of quaio g g aralll ha of
More information( A) ( B) ( C) ( D) ( E)
d Smsr Fial Exam Worksh x 5x.( NC)If f ( ) d + 7, h 4 f ( ) d is 9x + x 5 6 ( B) ( C) 0 7 ( E) divrg +. (NC) Th ifii sris ak has h parial sum S ( ) for. k Wha is h sum of h sris a? ( B) 0 ( C) ( E) divrgs
More informationEmpowers Families Unites Communities Builds Capacity. An In. Read and Rise. Cultivates Literacy
8 Emw Fm U Cmm B Cc g A I Y h P R c L DY : U T S E CAS g L b U N ff H I h H c D Sch R R Cv Lc CASE STUDY A Ig P h Y Lc R Th N Ub Lg H ff wh H I Sch Dc (HISD) c Schc R R, fcg cfc hw gg mw fm f h ch c h
More informationConsider serial transmission. In Proakis notation, we receive
5..3 Dciio-Dirctd Pha Trackig [P 6..4] 5.-1 Trackr commoly work o radom data igal (plu oi), o th kow-igal modl do ot apply. W till kow much about th tructur o th igal, though, ad w ca xploit it. Coidr
More informationEEE 303: Signals and Linear Systems
33: Sigls d Lir Sysms Orhogoliy bw wo sigls L us pproim fucio f () by fucio () ovr irvl : f ( ) = c( ); h rror i pproimio is, () = f() c () h rgy of rror sigl ovr h irvl [, ] is, { }{ } = f () c () d =
More informationI M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o
I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o u l d a l w a y s b e t a k e n, i n c l u d f o l
More informationr*tt7v Progress, Ibe Ur)ft>ersal LaWof J^atare; Th>oagbt, fbe 3olA>er)t of Jier Problems. CHICAGO, SEPTEMBER MRS. ADA FOYE.
7v P U)> L ^; > 3>) P L' PBR 3 892 45 p p p j j pp p j ^ pp p k k k k pp v k! k k p k p p B pp P k p v p : p ' P Bk z v z k p p v v k : ] 9 p p j v p v p xp v v p ^ 8 ; p p p : : x k p pp k p k v k 20
More information10.5 Linear Viscoelasticity and the Laplace Transform
Scn.5.5 Lnar Vclacy and h Lalac ranfrm h Lalac ranfrm vry uful n cnrucng and analyng lnar vclac mdl..5. h Lalac ranfrm h frmula fr h Lalac ranfrm f h drvav f a funcn : L f f L f f f f f c..5. whr h ranfrm
More informationLecture 1: Photoconductors and p-i-n Photodiodes
Lcur 1: Poocoucors a p-i- Pooios Isrucor: Mig C. Wu Uivrsiy of Califoria, Brkly Elcrical Egirig a Compur Scics Dp. 1 Prof. Mig Wu Poocors Covrs lig o lcric sigals Mai yps of poocors Poocoucors P-i- pooios
More informationEffect of sampling on frequency domain analysis
LIGO-T666--R Ec sampling n rquncy dmain analysis David P. Nrwd W rviw h wll-knwn cs digial sampling n h rquncy dmain analysis an analg signal, wih mphasis n h cs upn ur masurmns. This discussin llws h
More informationFrom Fourier Series towards Fourier Transform
From Fourir Sris owards Fourir rasform D D d D, d wh lim Dparm of Elcrical ad Compur Eiri D, d wh lim L s Cosidr a fucio G d W ca xprss D i rms of Gw D G Dparm of Elcrical ad Compur Eiri D G G 3 Dparm
More informationUniversity of Alberta
Uivrsiy f lbra Nliar Mal-Isular-Mal MIM Naplasmic Wavguids Basd lcr Tulig fr Opical Rcificai ad Frqucy Grai by Xiaqi Li hsis submid h Faculy f Gradua Sudis ad Rsarch i parial fulfillm f h rquirms fr h
More informationMathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem
Mahmacal ascs 8 Chapr VIII amplg Dsrbos ad h Cral Lm Thorm Fcos of radom arabls ar sall of rs sascal applcao Cosdr a s of obsrabl radom arabls L For ampl sppos h arabls ar a radom sampl of s from a poplao
More informationEuropean Business Confidence Survey December 2012 Positive expectations for 2013
Dcmbr 2012 Erpa Bsiss Cfic rv Dcmbr 2012 Psitiv xpctatis fr 2013 Lasrp a Ivigrs EMEA hav rctl cmplt thir latst Erpa Bsiss Cfic rv. Th fiigs sggst a psitiv start t 2013 a a mr ptimistic tlk cmpar t that
More informationChapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System
EE 422G No: Chapr 5 Inrucor: Chung Chapr 5 Th Laplac Tranform 5- Inroducion () Sym analyi inpu oupu Dynamic Sym Linar Dynamic ym: A procor which proc h inpu ignal o produc h oupu dy ( n) ( n dy ( n) +
More informationThabet Abdeljawad 1. Çankaya Üniversitesi Fen-Edebiyat Fakültesi, Journal of Arts and Sciences Say : 9 / May s 2008
Çaaya Üiversiesi Fe-Edebiya Faülesi, Jural Ars ad Scieces Say : 9 / May s 008 A Ne e Cai Rule ime Scales abe Abdeljawad Absrac I is w, i eeral, a e cai rule eeral ime scale derivaives des beave well as
More informationState-Space Model. In general, the dynamic equations of a lumped-parameter continuous system may be represented by
Sae-Space Model I geeral, he dyaic equaio of a luped-paraeer coiuou ye ay be repreeed by x & f x, u, y g x, u, ae equaio oupu equaio where f ad g are oliear vecor-valued fucio Uig a liearized echique,
More informationAE57/AC51/AT57 SIGNALS AND SYSTEMS DECEMBER 2012
AE7/AC/A7 SIGNALS AND SYSEMS DECEMBER Q. Drmi powr d rgy of h followig igl j i ii =A co iii = Solio: i E P I I l jw l I d jw d d Powr i fii, i i powr igl ii =A cow E P I co w d / co l I I l d wd d Powr
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 informationEXERCISE - 01 CHECK YOUR GRASP
DIFFERENTIAL EQUATION EXERCISE - CHECK YOUR GRASP 7. m hn D() m m, D () m m. hn givn D () m m D D D + m m m m m m + m m m m + ( m ) (m ) (m ) (m + ) m,, Hnc numbr of valus of mn will b. n ( ) + c sinc
More informationFourier Techniques Chapters 2 & 3, Part I
Fourir chiqus Chaprs & 3, Par I Dr. Yu Q. Shi Dp o Elcrical & Compur Egirig Nw Jrsy Isiu o chology Email: shi@i.du usd or h cours: , 4 h Ediio, Lahi ad Dog, Oord
More informationChapter 5. Root Locus Techniques
Chapter 5 Rt Lcu Techique Itrducti Sytem perfrmace ad tability dt determied dby cled-lp l ple Typical cled-lp feedback ctrl ytem G Ope-lp TF KG H Zer -, - Ple 0, -, - K Lcati f ple eaily fud Variati f
More informationRAMIFICATIONS of POSITION SERVO LOOP COMPENSATION
RAMIFICATIONS f POSITION SERO LOOP COMPENSATION Gerge W. Yunk, P.E. Lfe Fellw IEEE Indural Cnrl Cnulg, Inc. Fnd du Lac, Wcn Fr many year dural pg er dre dd n ue er cmpena he frward p lp. Th wa referred
More informationSTATE SPACE CONTROL. Prof. Ing. Miluše Vítečková, CSc. Prof. Ing. Antonín Víteček, CSc., Dr.h.c.
VŠB h Uvr f Orv F f Mh Egrg Dpr f Cr S r Czh Rp SE SPCE CONROL Prf g Mš Víčvá CS Prf g í Víč CS Drh Orv 6 Rvr: D g M Hgr CS Cprgh : Prf g Mš Víčvá CS Prf g í Víč CS Drh SE SPCE CONROL SBN 978-8-8-979-
More informationCopyright 2012 Pearson Education, Inc. Publishing as Prentice Hall.
Chapr Rviw 0 6. ( a a ln a. This will qual a if an onl if ln a, or a. + k an (ln + c. Thrfor, a an valu of, whr h wo curvs inrsc, h wo angn lins will b prpnicular. 6. (a Sinc h lin passs hrough h origin
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 informationThe Licking County Health Department 675 Price Rd., Newark, OH (740)
T Liki y Drm 675 Pri R. Nrk O 43055 (740) 349-6535.Liki.r @iki.r A R r # W Ar Pbi Amim i Liki y : U P Sri m LD ff i ri fr fbk iify ri f Br i y fr r mmi P. Imrvm R. J b R.S. M.S. M.B.A. Liki y r mmii m
More informationBus times from 18 January 2016
1 3 i ml/ Fm vig: Tllc uchhuggl Pkh ig Fm u im fm 18 Ju 2016 Hll lcm Thk f chig vl ih Fi W p xiv k f vic hughu G Glg h ig mk u ju pibl Ii hi gui u c icv: Th im p hi vic Pg 6-15 18-19 Th u ii v Pg -5 16-17
More informationEEC 483 Computer Organization
EEC 8 Compuer Orgaizaio Chaper. Overview of Pipeliig Chau Yu Laudry Example Laudry Example A, Bria, Cahy, Dave each have oe load of clohe o wah, dry, ad fold Waher ake 0 miue A B C D Dryer ake 0 miue Folder
More informationOcé User Guide. Océ. Océ Professional Document Composer V3.10
Océ Ur Gu Océ Océ Prfal Dcum Cmpr V3.10 ...a Tra? r h pruc w al ffr mar a ur Tra Cr P. Ifrma: Ph +49 8121 72-3940 ax +49 8121 72-3950 Océ Pr Sym GmbH Pfach 1260 85581 P Grmay Jauary 2007 E A29247-X21-X-6-7670
More informationEarly Years in Colorado
Rp m H V I 6 p - Bb W M M M B L W M b w b B W C w m p w bm 7 Nw m m m p b p m w p E Y C W m D w w Em W m 7- A m m 7 w b m p V A Gw C M Am W P w C Am H m C q Dpm A m p w m m b W I w b-w C M B b m p W Nw
More information1a.- Solution: 1a.- (5 points) Plot ONLY three full periods of the square wave MUST include the principal region.
INEL495 SIGNALS AND SYSEMS FINAL EXAM: Ma 9, 8 Pro. Doigo Rodrígz SOLUIONS Probl O: Copl Epoial Forir Sri A priodi ri ar wav l ad a daal priod al o o od. i providd wi a a 5% d a.- 5 poi: Plo r ll priod
More information