The Fuzzy Tracking Control of Output vector of Double Fed Induction Generator DFIG via T S Fuzzy Model
|
|
- Clifford Dorsey
- 6 years ago
- Views:
Transcription
1 Receved: Augut 25, he Fuzzy ackng Contol of Output vecto of Double Fed Inducton Geneato DFIG va S Fuzzy Model Fouad Abdelmalk 1 * Najat Ouaalne 1 1 aboatoy of Engneeng, Indutal Management and Innovaton Faculty of cence and technology, Haan ft unvety, Moocco * Coepondng autho Emal: f.abdelmalk@gmal.com Abtact: he pupoe of th pape to enue a tackng contol of output tate epecally the actve and eactve powe of doubly fed nducton geneato (DFIG) by ung the appoach of Paallel Dtbuted Compenaton (PDC) of the fuzzy contol type akage-sugeno (-S) whch detemne the contol law contanng fuzzy tackng and etun tate. h tackng ha been bult to convege the output vecto of the DFIG to a deed tate. In th wok, the quadatc functon of lyaponov and a lnea matx nequalty (MI) ae ued to obtan the gan of the tackng contol and the contolle.he mulaton eult of law contol baed on the tackng and contolle gan allow the actve and eactve powe obtaned mut follow the efeence popoed. Keywod: Fuzzy model, Nonlnea ytem, akage-sugeno (-S), DFIG, PDC, MI, yapunov, Quadatc tablty, ackng contol, Matlab MI toolbox. 1. Intoducton he doubly fed nducton machne (DFIM) ha been the ubject of much eeach manly n nduty uch a geneato DFIG fo wnd enegy applcaton [1, 2] and moto fo ventlaton ytem and pump, nce t featue mple tuctue, hgh-enegy effcency, elable opeaton and can opeate vaable peed. he dynamc model of the DFIG not lnea and that ome tate cannot be meaued due to the lack of eno whch caue dffculte to contol and know the evoluton of th nonlnea ytem [3]. A lot of eeache have been done on the modelng and contol of DFIG [4-6] epecally by the fuzzy model popoed by the appoach akag- Sugeno (-S) [7, 8] and the Paallel Dtbuted Compenaton (PDC) [9]. he akag-sugeno (S) fuzzy modelng ue the fuzzy IF-HEN ule fo epeentng a local nputoutput elaton of a dffeent cla of non-lnea ytem model [7]. he objectve to epeent the local dynamc of each ule by a lnea ytem model. Fo aung the global tablty and tackng contol of DFIG by the akag-sugeno fuzzy model, we ue a quadatc yapunov functon to all ubytem founded by the vaable tanfomaton n to lnea matx nequalte MI [10, 11]. We obtan the contolle and tackng gan fo local fuzzy model by ung the poweful computatonal Matlab MI oolbox. he tackng contol ha be een n vaou ndutal ytem [12, 13], the objectve of th contol to degn a tackng contolle and to convege the output to the deed efeence model wthout a tackng eo. Compaed wth tablty contol degn and tablzaton poblem, the tackng contol poblem moe dffcult epecally fo nonlnea ytem. In th peent wok, the appoach baed on fuzzy contol akag- Sugeno peented wth Paallel Dtbuted Compenaton (PDC) technque and popoed to mpove the pefomance of cuent tackng contol and tablty fo dynamc model of nonlnea ytem the doubly fed Inducton Geneato (DFIG). Intenatonal Jounal of Intellgent Engneeng and Sytem, Vol.11, No.1, 2018 DOI: /je
2 Receved: Augut 25, he man advantage of th contol tategy ove othe to mpove the pefomance of DFIG by dmnng the epone tme of the convegence of actve and eactve powe to a deed value. h pape tuctued a follow. In Secton II, the dynamc tate-pace model of doubly fed nducton geneato and tudy of -S fuzzy modellng wth Fuzzy tate tackng ae peented and a decpton of MI-baed degn pocedue, fnally we applcate the fuzzy S method to the dynamc model of DFIG wth the eult obtaned and mulaton. 2. akage Sugeno 2.1 Model akage Sugeno he tate pace of the Double Feed Inducton Geneato DFIG dynamc model [8-11] expeed b followng Eq. (1): Wth and x( t ) A x( t ) B u( t ) y( t ) C x( t ) x( t ) [ I d,i q,i d,i q ] u( t ) [V d,v q,v d,v q ] y( t ) [ P,Q ] R M 2 RM pm p + M 2 R pm RM -p + A= RM pm R p - pm RM R p - M M B= 1 M M (1) (2) MV C= V 2 1 MV w I d Whee,,M : Stato, Roto and Mutual nductance. R, R : Stato and Roto etance., : Stato and Roto peed. I,I : Stato and Roto cuent n ax q. q q I d,i d : Stato and Roto cuent n ax d. x( t ),u( t ) : he tate ytem and contol vecto : he gan of the fuzzy obeve K : he gan of the fuzzy egulato. : he numbe of local model. p : he Numbe of pole. V : Stato voltage magntude. A akag-sugeno fuzzy model fo a dynamc ytem cont of a fnte et of fuzzy IF... HEN ule expeed a follow: Model ule : If z 1(t ) F p((z 1(t )) HEN F 1((z 1(t )) and and z p (t ). x( t ) h ( z( t )) ( A x( t ) B u( t )) 1 (3) y( t ) h ( z( t )) ( C x( t ) ) 1 Befoe F 1 (j=1, 2... p) the fuzzy membehp functon aocated wth the th ule and j th paamete component z 1(t )...z p(t ) ae known peme vaable. Whee fo each ule..e., And gven by h (z(t )) the nomalzed weght h ( z( t )) 1 1 (4) h ( z( t )) 0 Intenatonal Jounal of Intellgent Engneeng and Sytem, Vol.11, No.1, 2018 DOI: /je
3 Receved: Augut 25, and h ( z( t )) 2.2 ackng contol 1 w ( z( t )) w ( z( t )) p j j j1 (5) w ( z( t )) F ( z ( t )) (6) Fo each ule of a akage-sugeno model, we ue the concept of Paallel Dtbuted Compenaton (PDC) to degn fuzzy contolle to tablze fuzzy ytem n the Eq. (3). he Stablty analye baed on the quadatc yapunov tablty uch a the followng defnton: Defnton 1: he ytem n Eq. (1) ad to be quadatc ally table f thee ext a quadatc functon: WthV( 0) 0, V( x(t )) x (t ) P x(t ) (7) Satfyng the followng condton: V( x(t )) 0, x(t ) 0 P 0. (8). V( x( t )) 0, x( t ) 0. (9) If V ext, t called a yapunov functon. x (t ) I I I I (12) ef ef ef ef d d q d q he cloed-loop model of Eq. (3) wth the global contol law Eq. (11) epeented a follow [11]:. x( t ) x( t ) h ( z( t )) h j( z( t )) Gj Hj x 1 j 1 d ( t ) y( t ) h ( z( t )) C x( t ) 1 Wth G A B K Hj B N j j j (13) (14) We conde that e(t ) the functon eo whch the dffeence between the tate vecto x( t ) of - S fuzzy model Eq. (13) and the deed tate vecto x (t ), uppoed contant, a: d e( t ) x( t ) x d ( t ) (15) Combnng the Eq. (13) and Eq. (15), the eo dynamc. e(t ) Can be wtten a:. e( t ) e( t ) h ( z( t )) h j( z( t )) Gj Zj x 1 j 1 d ( t ) (16) he objectve of fuzzy tackng contol to acheve Wth Zj Gj Hj (17) lm x( t) x ( t) 0 (10) t d By applyng fuzzy contol law u (t) [11], whch wtten n the followng fom: Contolle Rule : If z 1(t) F 1 (z 1(t)) and and z p(t) F p (z 1(t)) HEN u( t ) h ( z( t )) ( K x( t ) N x ( t )) (11) d 1 Whee x () t : the deed tate vecto. d he eo dynamc n Eq. (16) can be epeented a follow:. 2 e( t ) e( t ) h ( z( t )) Gj Zj 2 h ( z( t )) x 1 d ( t ) j (18) Gj G j Zj Z j e( t ) h j( z( t )) 2 2 x d ( t ) Ung the defnton 1 n equaton Eq. (18), we obtan: And. V( e( t )) Become V(e(t ) e (t )P e(t ) 0 (19) Intenatonal Jounal of Intellgent Engneeng and Sytem, Vol.11, No.1, 2018 DOI: /je
4 Receved: Augut 25, j d 1 j. e( t ) V( e( t )) h ( t ) h ( t )h ( t ) x ( t ) j j e( t ) 0 2 x d ( t ) Wth P G (*) P Z (*) 0 Gj Gj Zj Zj j j P (*) P (*) 0 (20) (21) Gj G j Zj Z j P (*) P (*) P P 0 (*) (*) P Fo ( 1 j ) 2.3 nea matx nequalty (MI) (27) he MI condton ae ued to fnd the feedback gan K and the tackng gan N. In ode to mplfy the eoluton of the MI, we conde the vaable change by ntoducng matce X, U and V wth appopate dmenon: he equlbum of the ytem decbed by Eq. (18) aymptotcally table n the lage f thee ext a common potve defnte matx P uch a thee two condton: 1 X P U KX V NX (28) 0 (22) j j 0, 1 j (23) he condton Eq. (22) and Eq. (23) can be epeented a Eq. (24) and Eq. (25), epectvely a: P G (*) P Z 0 P 1 0 P0 (*) P P Gj G j Zj Z j P (*) P 2 2 (*) P 0 P P P (24) (25) Whle applyng to Eq. (24) and Eq. (25) the Schu emma, we obtan the followng equaton Eq. (26) and Eq. (27), epectvely a: P G (*) P Z 0 (*) P P 0 (*) (*) P Fo( 1, 2, 3,..., ) (26) he Condton n Eq. (26) and Eq. (27) can be ealy tanfomed nto MI a follow: A X BU (*) A X BU BV 0 (*) X X 0 (*) (*) X Fo ( 1, 2, 3,..., ) A Aj X BU j B ju (*) (*) X X 0 (*) (*) X Fo (1 j ) Wth (29) (30) A A X B U B U B V B V (31) j j j j j 3. Smulaton eult he popoed appoach n th wok wll be ued fo calculatng the contol law of the thee-phae 1.5 Mw Doubly fed nducton Geneato havng the followng chaactetc a hown n table 1: Intenatonal Jounal of Intellgent Engneeng and Sytem, Vol.11, No.1, 2018 DOI: /je
5 Receved: Augut 25, able 1. Doubly fed nducton Geneato 1.5 MW (DFIG) Paamete Quantty Unt and value R Ohm R Ohm 87 μh 87 μh M 2.5 μh V 690V P 2 Fgue.3 Smulaton eult of actve powe P-ef Fgue.1 Smulaton eult of Iq-ef Fgue.2 Smulaton eult of Id_ef A eult, the mulaton eult obtaned n tem of actve and eactve powe (P and Q) mut follow the eult of the deed efeence one whch ae lnked wth the cuent Iq and Id by Eq. (1). he Fgue 1 and 2 epeent the popoed eult the efeence cuent. hee eult gve u the bet method to know exactly the good pefomance of the actve and eactve powe. Intenatonal Jounal of Intellgent Engneeng and Sytem, Vol.11, No.1, 2018 Fgue.4 Smulaton eult of actve powe P-ef It obeved by the Fg. 1 and 2 of the efeence cuent Iq and Id, epectvely, that we have the thee dffeent cae of the each cuent functon opeatng n thee ange of epondng tme. A mentoned above that the efeence actve and eactve powe, and the efeence cuent ae lnked by Eq. (1). So, the eult of thee powe ae epeented n the followng Fg. 3 and 4. A we can ee fom the Fg. 5 and 6, t well obeved that the eult of the actve and eactve powe fed by the tato of the MADA follow the popoed eult of the efeence powe fo the thee ange of the epondng tme, Fnally, we conclude that the cuent Iq dong the tackng contol of the actve powe, and the dect Iq component dong the tackng contol of the eactve powe. Ung the MI appoach and the condton of quadatc tablty fo calculate the feedback contol and the tackng contol gan of the fuzzy contol law Eq. (11) gve the followng eult: DOI: /je
6 Receved: Augut 25, Fgue.5 Smulaton eult of actve powe P and P-ef Fgue.6 Smulaton eult of actve powe Q and Q-ef he quadatc yapunov matx P: 0,0263 3,532e-10 1,766e-08 8,125e-09 3,532e-10 0,0263 3,290e-09 1,512e-08 P 1,766e-08 3,290e-09 0,0263 4,520e-10 8,125e-09 1,512e-08 4,520e-10 0,0263 Gan value K: -15, ,41-346, ,5-886,55-15, ,8-351,09 K1-50, , , ,9-50, ,90-14,689 Intenatonal Jounal of Intellgent Engneeng and Sytem, Vol.11, No.1, 2018 DOI: /je
7 Receved: Augut 25, , ,81-346, ,78-15, ,08 K2-50, ,8-0, , ,5-50, ,77-14,685-15, ,81-346, ,78-15, ,08 K3-50, ,8-0, , ,5-50, ,78-14,675-15, ,41-346, ,5-886,55-15, ,8-351,08 K4-50, , , ,9-50, ,90-14,684 Gan value N: 1, , ,6 888,95 2, ,1 23,520 N1 2, ,9-0,0893-7, ,8 3, ,27 0,8396 1, ,81 23, ,78 1, ,525 N3 2, ,7-0, , ,5 3, ,78 0,8534 1, ,81 23, ,77 2, ,521 N2 2, ,7-0, , ,5 3, ,78 0, , ,00 23, ,6 888,95 2, ,1 23,522 N4 2, ,9-0,0890-7, ,8 3, ,27 0,8449 Compang ou eult of the actve and eactve powe of DFIG 1.5 MW howng n Fgue 5 and 6, epectvely, by anothe obtaned by method A Fuzzy Sldng Mode [5]. It noted that the epone tme moe mpotant than one efeenced n [5], followng able 2 how the compaon between the two method: Notaton: A (*) A A Repone tme (ec) able 2. he compaon A Fuzzy A Fuzzy Sldng akage-sugeno Mode method method 0.2 < t < < t < 0.6 A B A B (*) C B C 4. Concluon In th wok, a fuzzy akage-sugeno contol baed on paallel dtbuted compenaton PDC appoach of output vecto tate of DFIG tuded and developed. Ftly, the nonlnea model of DFIG tanfomed nto a -S fuzzy epeentaton. Afte that, the appoach PDC have been ued to contuct the MI baed degn pocedue fo fuzzy contolle. Secondly, the tablty condton ae expeed n tem of nea Matx Inequalte MI. Fnally, a degn algothm of fuzzy contol ytem contanng fuzzy egulato and fuzzy tackng obtaned. he mulaton eult ae povded to mpove the tme epone of obtaned powe compaed to the othe eeache. Futue wok wll focu on ung of the popoed method n th wok n ode to apply n the ytem whch contan wnd tubne wth DFIG fo maxmze the poducton of electcal enegy and ue of othe type of contolle, uch a H nfnty. Refeence [1] H. Polnde, F. Van de Pjl, G. De Vlde, and P. avne, Compaon of dect-dve and geaed geneato concept fo wnd tubne", IEEE an. Enegy Conve., Vol. 21, No. 3, pp , [2] A. Naamane and N. Md, Doubly Feed Inducton Geneato Contol fo an Uban Wnd ubne, Intenatonal Renewable Enegy Conge IREC, pp , [3] J. Ekanayake,. Holdwoth, X. Wu, and N. Jenkn, Dynamc modellng of doubly fed nducton geneato wnd tubne, IEEE tanacton on powe ytem, Vol. 18, No 2, p , [4] F.Abdelmalk and N. Ouaalne, S Fuzzy obeve and contolle of Doubly-Fed Inducton Geneato, Intenatonal Jounal of Powe Electonc and Dve Sytem, Vol.7, No.3, pp , Intenatonal Jounal of Intellgent Engneeng and Sytem, Vol.11, No.1, 2018 DOI: /je
8 Receved: Augut 25, [5] O. Beloun and H. aba, Fuzzy Sldng Mode Contolle of DFIG fo Wnd Enegy Conveon, Intenatonal Jounal of Intellgent Engneeng and Sytem, Vol.10, No.3, pp , [6] M. Nadou, A. Eadk, and. Nae, Compaatve Analy between PI & Backteppng Contol Statege of DFIG Dven by Wnd ubne, Intenatonal Jounal of Renewable Enegy Reeach, Vol. 7, No. 3, pp , [7]. akag and M. Sugeno, Fuzzy dentfcaton of ytem and t applcaton to modelng and contol, IEEE anacton on Sytem, Man and Cybenetc, Vol. 1, No. 1, p , 1985 C. J. opez-obo and R. J. Patton, akag- Sugeno fuzzy fault toleant contol fo a nonlnea ytem, In: Poc. of the 38th IEEE Confeence on Decon and Contol, pp , [8] K. anaka and M. Sugeno, Stablty analy and degn of fuzzy contol ytem, Fuzzy Set Syt., Vol. 45, No.2, pp , [9] J. Pak, J. Km, and D. Pak, MI-baed degn of tablzng fuzzy contolle fo nonlnea ytem decbed by akag-sugeno fuzzy model, Fuzzy Set Syt., Vol.122, pp.73-82, [10] A. Abdelkm, C. Ghobe, and M. BENREJEB, MI-baed tackng contol fo takag-ugeno fuzzy model, Intenatonal Jounal of Contol & Automaton, Vol. 3, No [11] S. ong,. Zhang, and Y., Obeved-baed adaptve fuzzy decentalzed tackng contol fo wtched uncetan nonlnea lage-cale ytem wth dead zone, IEEE anacton on Sytem, Man, and Cybenetc: Sytem, Vol. 46, No 1, p , [12] H.,. Wang, H. Du, and A. Boulkoune, Adaptve fuzzy backteppng tackng contol fo tct-feedback ytem wth nput delay, IEEE anacton on Fuzzy Sytem, Vol. 25, No 3, p , Intenatonal Jounal of Intellgent Engneeng and Sytem, Vol.11, No.1, 2018 DOI: /je
Observer Based Parallel IM Speed and Parameter Estimation
SERBIAN JOURNAL OF ELECTRICAL ENGINEERING Vol. 11, No. 3, Octobe 2014, 501-521 UDC: 621.313.333-253:519.853 DOI: 10.2298/SJEE1403501S Obeve Baed Paallel IM Speed and Paamete Etmaton Saša Skoko 1, Dako
More informationThe Suitable Power Control of Wind Energy Conversion System based doubly Fed Induction Generator
Intenatonal Jounal of Compute Applcaton (975 8887) Volume 87 No.3, Febuay 4 The Sutable Powe Contol of Wnd Enegy Conveon Sytem baed doubly Fed Inducton Geneato D E. eouche Depatment of Electcal Engneeng,
More informationISSN International Journal of Advanced Research (2014), Volume 2, Issue 4, RESEARCH ARTICLE
ISSN 3-547 Intenatonal Jounal of Advanced Reeach (14), Volume, Iue 4, 474-483 Jounal homepage: http://www.jounalja.com INTERNATIONA JOURNA OF ADVANCED RESEARCH RESEARCH ARTICE Effcency Impovement of Thee
More informationEffects of Rotor Air-gap Eccentricity on the Power Factor of Squirrel Cage Induction Machines
Effect of Roto A-gap Eccentcty on the Powe Facto of Squel Cage Inducton Machne H. Mehgn-Kelk, J. Mlmonfaed Electc Machne and Dve Laboatoy Depament of Electcal Engneeng Amkab Unvety of echnology ehan 594,
More informationObserver Design for Takagi-Sugeno Descriptor System with Lipschitz Constraints
Intenatonal Jounal of Instumentaton and Contol Systems (IJICS) Vol., No., Apl Obseve Desgn fo akag-sugeno Descpto System wth Lpschtz Constants Klan Ilhem,Jab Dalel, Bel Hadj Al Saloua and Abdelkm Mohamed
More informationDetection and Estimation Theory
ESE 54 Detecton and Etmaton Theoy Joeph A. O Sullvan Samuel C. Sach Pofeo Electonc Sytem and Sgnal Reeach Laboatoy Electcal and Sytem Engneeng Wahngton Unvety 411 Jolley Hall 314-935-4173 (Lnda anwe) jao@wutl.edu
More informationFault-Current Study of the Wind-Turbine-Driven Doubly-Fed Induction Generator with the Crowbar Protection
ELEKTROTEHNIŠKI VESTNIK 8(-): 57-6 ORIGINAL SIENTIFI PAPER Fault-uent Study of the Wnd-Tubne-Dven Doubly-Fed Inducton Geneato wth the owba Potecton Xangpng Kong Zhe Zhang State Key Laboatoy of Advanced
More informationSensorless Control of Induction Motor using Simulink by Direct Synthesis Technique
Intenatonal Jounal of Electcal Engneeng. ISSN 0974-258 olue 4, Nube (20), pp.23-32 Intenatonal Reeach Publcaton Houe http://www.phoue.co Senole Contol of Inducton Moto ung Sulnk by Dect Synthe Technque
More informationSolving the Dirac Equation: Using Fourier Transform
McNa Schola Reeach Jounal Volume Atcle Solvng the ac quaton: Ung oue Tanfom Vncent P. Bell mby-rddle Aeonautcal Unvety, Vncent.Bell@my.eau.edu ollow th and addtonal wok at: http://common.eau.edu/na Recommended
More informationThis is a repository copy of Backstepping control design with actuator torque bound for spacecraft attitude maneuver.
h a epotoy copy of Backteppng contol degn wth actuato toque bound fo pacecaft atttude maneuve. Whte Roe Reeach Onlne URL fo th pape: http://epnt.whteoe.ac.uk/874/ Veon: Accepted Veon Atcle: Al, I, Radce,
More informationPredictive Vector Control Based Induction Motor Drive using Fuzzy Controller
Intenatonal Jounal of Scence, Engneeng and Technology Reeach (IJSETR, Volume 4, Iue 11, Novembe 2015 Pedctve Vecto Contol Baed Inducton Moto Dve ung Fuzzy Contolle G. Vcto Raj 1, K.Venkataamana 2, V.Chatanya
More informationHYSTERESIS BASED ON ARTIFICIAL INTELLIGENCE TECHNIQUES OF SIX SECTORS DTC WITH VOLTAGE ZERO FOR INDUCTION MACHINE
Algean Jounal of Reeach and echnology (AJR) Volume 2 Iue (Decembe 27) Algean Jounal of Reeach and echnology AJRDZ@gmalcom http://wwwunv-utodz/ajr/ ISSN (Pnt):2543-3946, ISSN (onlne):2543-3954 AJR Volume
More informationStability Analysis of Simultaneous Estimation of Speed and Stator Resistance for Sensorless Induction Motor Drives
Poceedng of the 4 th Intenatonal Mddle Eat Powe yte Confeence (MEPCON 0), Cao Unvety, Egypt, Decebe 9-, 00, Pape ID 80. tablty Analy of ultaneou Etaton of peed and tato Retance fo enole Inducton Moto Dve
More informationHierarchical Intelligent Sliding Mode Control: Application to Stepper Motors
Heachcal Intellgent Sldng Mode Contol: Applcaton to Steppe Moto Benado Rncon Maque Aleande G Louanov and Edga N Sanche Membe IEEE Abtact: In th pape one method of obut contol baed on ldng mode and fuy
More informationThe Backpropagation Algorithm
The Backpopagaton Algothm Achtectue of Feedfowad Netwok Sgmodal Thehold Functon Contuctng an Obectve Functon Tanng a one-laye netwok by teepet decent Tanng a two-laye netwok by teepet decent Copyght Robet
More informationˆ x ESTIMATOR. state vector estimate
hapte 9 ontolle Degn wo Independent Step: Feedback Degn ontol Law =- ame all tate ae acceble a lot of eno ae necea Degn of Etmato alo called an Obeve whch etmate the ente tate vecto gven the otpt and npt
More informationCHAPTER 4 TWO-COMMODITY CONTINUOUS REVIEW INVENTORY SYSTEM WITH BULK DEMAND FOR ONE COMMODITY
Unvety of Petoa etd Van choo C de Wet 6 CHAPTER 4 TWO-COMMODITY CONTINUOU REVIEW INVENTORY YTEM WITH BULK DEMAND FOR ONE COMMODITY A modfed veon of th chapte ha been accepted n Aa-Pacfc Jounal of Opeatonal
More informationModelling and Simulation of Multiple Single - Phase Induction Motors in Parallel Operation
Poceedn of the 8th WSEAS Int. Confeence on Automatc Contol Modeln and Smulaton Paue Czech Republc Mach -4 6 (pp95-) Modelln and Smulaton of Multple Snle - Phae Inducton Moto n Paallel Opeaton SAKRAWEE
More informationInitialization of DFIG based wind generating system
Intalzaton of DFIG bae wn geneatng ytem N.Amutha an B. Kalyan Kuma, membe, IEEE Electcal Engneeng epatment Inan Inttute of Technology Maa Chenna, Ina 636 Emal: namutha@gmal.com, balyan@ee.tm.ac.n Abtact
More informationDirect Torque Control Scheme For Dual-Three-Phase Induction Motor
The Intenatonal Powe Electonc Confeence Dect Toque Contol Scheme Fo Dual-Thee-Phae Inducton Moto R. Zameddne, T. Undeland Depatment of Electc Powe Engneeng Enegy Coneon Reeach Goup Nowegan Unety of Scence
More information(8) Gain Stage and Simple Output Stage
EEEB23 Electoncs Analyss & Desgn (8) Gan Stage and Smple Output Stage Leanng Outcome Able to: Analyze an example of a gan stage and output stage of a multstage amplfe. efeence: Neamen, Chapte 11 8.0) ntoducton
More informationSpeed Tracking of a Linear Induction Motor- Enumerative Nonlinear Model Predictive Control
Speed Tackng of a nea Inducton Moto- Enumeatve Nonlnea Model Pedctve Contol Jean Thoma and Ande Hanon nköpng Unvety Pot Pnt N.B.: When ctng th wok, cte the ognal atcle. 3 IEEE. Peonal ue of th mateal pemtted.
More informationField-oriented Vector Control of Induction Motor for Electric Vehicles
Feld-oented Vecto Contol o Inducton Moto o Electc Vehcle Wang Y Shenzhen Gaduate School Habn Inttute o Technology Shenzhen, Chna Wangy60@yahoo.com.cn Zhao Kaq Automaton College Habn Engneeng Unvety Habn,
More informationFUZZY CONTROL VIA IMPERFECT PREMISE MATCHING APPROACH FOR DISCRETE TAKAGI-SUGENO FUZZY SYSTEMS WITH MULTIPLICATIVE NOISES
Jounal of Mane Scence echnology Vol. 4 No.5 pp. 949-957 (6) 949 DOI:.69/JMS-6-54- FUZZY CONROL VIA IMPERFEC PREMISE MACHING APPROACH FOR DISCREE AKAGI-SUGENO FUZZY SYSEMS WIH MULIPLICAIVE NOISES Wen-Je
More informationSensorless Speed Control of Induction Motor Using MRAS
Intenatonal Jounal of Recent Technology and Engneeng (IJRTE) ISSN: 2277-3878, Volume-1, Iue-5, Noembe 2012 Senole Speed Contol of Inducton Moto Ung MRAS G. Pydaju, M. Daaaadam Abtact : In ode to mplement
More informationAir-fuel ratio fuzzy controller handling delay: Comparison with a PI/Smith
A-fuel ato fuy contolle handlng delay: Compaon wth a PI/Smth Thoma Lauan, Jmmy Laube LAMIH (UMR 8) Unv. Valencenne, CNRS Valencenne, Fance tlauan@unv-valencenne.f Zόfa Lendek Depatment of Automaton Techncal
More informationDTC, DPC and Nonlinear Vector Control Strategies Applied to the DFIG Operated at Variable Speed
Jounal of Electcal Engneeng DTC, DPC and Nonlnea Vecto Contol Statege Appled to the DFIG Opeated at Vaable Speed Jhène Ben Alaya (,, Adel Khedhe (,, Mohamed Faouz Mmoun (,5 Réeaux et Machne Electque (RME
More informationDirect Torque Control of Saturated Doubly-Fed Induction Generator using High Order Sliding Mode Controllers
(IJACSA) Intenatonal Jounal of Avance Compute Scence an Applcaton, Vol. 7, No. 7, 6 Dect Toque Contol of Satuate Doubly-Fe Inucton Geneato ung Hgh Oe Slng Moe Contolle Elhaj BOUNADJA Depatment of Automatc
More informationConsiderations Regarding the Flux Estimation in Induction Generator with Application at the Control of Unconventional Energetic Conversion Systems
Conideation Regading the Flux Etimation in Induction Geneato with Application at the Contol of Unconventional Enegetic Conveion Sytem Ioif Szeidet, Octavian Potean, Ioan Filip, Vaa Citian Depatment of
More informationQueuing Network Approximation Technique for Evaluating Performance of Computer Systems with Input to Terminals
6th Intenatonal Confeence on Chemcal Agcultual Envonmental and Bologcal cence CAEB-7 Dec. 7-8 07 Pa Fance ueung Netwo Appoxmaton Technque fo Evaluatng Pefomance of Compute ytem wth Input to Temnal Ha Yoh
More informationDirect Torque Control of Double Feed Induction Machine (DTC-DFIM)
Jounal of Advanced Reeach in Science and echnology ISSN: 232-9989 Diect oque Contol of Double Feed Induction Machine (DC-DFIM) Zemmit Abdeahim, Sadouni Radhwane 2 and Meoufel Abdelkade 2 Electical Engineeing
More informationCFAR BI DETECTOR IN BINOMIAL DISTRIBUTION PULSE JAMMING 1. I. Garvanov. (Submitted by Academician Ivan Popchev on June 23, 2003)
FA BI EEO I BIOMIAL ISIBUIO PULSE JAMMIG I. Gavanov (Submtted by Academcan Ivan Popchev on June 3, 3) Abtact: In many pactcal tuaton, howeve, the envonment peence of tong pule ammng (PJ) wth hgh ntenty;
More information3. A Review of Some Existing AW (BT, CT) Algorithms
3. A Revew of Some Exstng AW (BT, CT) Algothms In ths secton, some typcal ant-wndp algothms wll be descbed. As the soltons fo bmpless and condtoned tansfe ae smla to those fo ant-wndp, the pesented algothms
More informationRoot Locus Techniques
Root Locu Technque ELEC 32 Cloed-Loop Control The control nput u t ynthezed baed on the a pror knowledge of the ytem plant, the reference nput r t, and the error gnal, e t The control ytem meaure the output,
More informationCOMPLEMENTARY ENERGY METHOD FOR CURVED COMPOSITE BEAMS
ultscence - XXX. mcocd Intenatonal ultdscplnay Scentfc Confeence Unvesty of skolc Hungay - pl 06 ISBN 978-963-358-3- COPLEENTRY ENERGY ETHOD FOR CURVED COPOSITE BES Ákos József Lengyel István Ecsed ssstant
More informationTutorial 5 Drive dynamics & control
UNIVERSITY OF NEW SOUTH WALES Electic Dive Sytem School o Electical Engineeing & Telecommunication ELEC463 Electic Dive Sytem Tutoial 5 Dive dynamic & contol. The ollowing paamete ae known o two high peomance
More informationAdvanced Robust PDC Fuzzy Control of Nonlinear Systems
Advanced obust PDC Fuzzy Contol of Nonlnea Systems M Polanský Abstact hs pape ntoduces a new method called APDC (Advanced obust Paallel Dstbuted Compensaton) fo automatc contol of nonlnea systems hs method
More informationHardware Implementation of a Predictive DTC-SVM with a Sliding Mode Observer of an Induction Motor on the FPGA
WA RANACION on YM and CONROL abe Km, oufen Gdam, Abdellatf Mtbaa, Mohamed Faouz Mmoun Hadwae Implementaton of a Pedctve DC-VM wth a ldng Mode Obeve of an Inducton Moto on the FPGA abe KRIM, *** **** oufen
More informationSet of square-integrable function 2 L : function space F
Set of squae-ntegable functon L : functon space F Motvaton: In ou pevous dscussons we have seen that fo fee patcles wave equatons (Helmholt o Schödnge) can be expessed n tems of egenvalue equatons. H E,
More informationDynamic Modeling and Simulation of a 3-HP Asynchronous Motor Driving a Mechanical Load.
Dynac Modelng and Sulaton of a 3-HP Aynchonou Moto Dvng a Mechancal Load. C.U. Oguka, M.Eng. Depatent of Electcal Engneeng, Unvety of Ngea, Nukka, Ngea. E-al: ucoguka@yahoo.co ABSTRACT The qd0 tanfoaton
More informationModeling, Simulation & Control of Induction Generators Used in Wind Energy Conversion
Modelng, Sulaton & Contol of nducton Geneato Ued n Wnd Enegy Conveon Chapte-4 Equvalent Ccut and Matheatcal Model of nducton Geneato 4. ntoducton: n peent-day pactce, two type of geneato uually fnd applcaton
More informationDistinct 8-QAM+ Perfect Arrays Fanxin Zeng 1, a, Zhenyu Zhang 2,1, b, Linjie Qian 1, c
nd Intenatonal Confeence on Electcal Compute Engneeng and Electoncs (ICECEE 15) Dstnct 8-QAM+ Pefect Aays Fanxn Zeng 1 a Zhenyu Zhang 1 b Lnje Qan 1 c 1 Chongqng Key Laboatoy of Emegency Communcaton Chongqng
More informationASSESSMENT OF STRESSES ON INDUCTION MOTOR UNDER DIFFERENT FAULT CONDITIONS
Jounal of Theoetcal and Appled Infoaton Technology 2005-2009 JATIT. All ght eeved. www.jatt.og ASSESSMENT OF STESSES ON INDUCTION MOTO UNDE DIFFEENT FAUT CONDITIONS 1 B.AUNA KUMAI, 2 K.NAGA SUJATHA, 3
More informationMRAS Based Speed Sensor-less Vector Controlled Induction Motor Using Modified Adaptive Mechanism
Seno & Tanduce, Vol. 55, Iue 8, Augut 23, pp. 8-85 Seno & Tanduce 23 by IFSA http://www.enopotal.com MRAS Baed Speed Seno-le Vecto Contolled Induction Moto Uing Modified Adaptive Mechanim ALIYU Eneji Iah,
More informationA Continuous State Feedback Controller Design for High-order Nonlinear Systems with Polynomial Growth Nonlinearities
Intenatonal Jounal of Automaton and Comutng 04, Augut 203, 267-274 DOI: 0.007/633-03-0720-2 A Contnuou State Feedback Contolle Degn fo Hgh-ode Nonlnea Sytem wth Polynomal Gowth Nonlneate Guo-Dong Zhao
More informationThermodynamics of solids 4. Statistical thermodynamics and the 3 rd law. Kwangheon Park Kyung Hee University Department of Nuclear Engineering
Themodynamcs of solds 4. Statstcal themodynamcs and the 3 d law Kwangheon Pak Kyung Hee Unvesty Depatment of Nuclea Engneeng 4.1. Intoducton to statstcal themodynamcs Classcal themodynamcs Statstcal themodynamcs
More informationAbove Flux Estimation Issues in Induction Generators with Application at Energy Conversion Systems
Acta Polytechnica Hungaica Vol. 3, No. 3, 2006 Above Flux Etimation Iue in Induction Geneato with Application at Enegy Conveion Sytem Ioif Szeidet, Octavian Potean, Ioan Filip, Vaa Citian Depatment of
More informationSteady-State Analysis of DFIG for Wind Power Generation System Drive
INTERNATIONAL JOURNAL OF ENERGY, Iue, Vol., SteadyState Analy of DFIG fo Wnd owe Geneaton Syte De Jhène Ben Alaya, Adel Khedhe and Mohaed Faouz Moun Abtact Wnd enegy ha a key ole to play n poducng of clean
More informationState Feedback Integral Control by Velocity-Based Multiple Model Networks
State Feedback Integal ontol by VeloctyBaed Multple Model etwok Ruyao Gao, Adan O Dwye, Séamu McLoone and Eugene oyle Abtact: Veloctybaed (VB) multple model netwok have advantage ove conventonal multple
More informationDYNAMIC ANALYSIS OF HYSTERESIS MOTOR USING MATLAB/SIMULINK
DYNAMC ANALYSS OF HYSTSS MOTO USNG MATLAB/SMULNK Moulwaaao eddy P G Scola GM nttute of Tecnology LVSue Atant Pofeo GM nttute of Tecnology Atact-Hytee moto ae elf tatng ule ynconou moto wc ae eng ued wdely
More informationRX Model-Based Newton Raphson Load Flow for Distribution Power System Considering Wind Farm with Asynchronous Generators
T. T. han and. L. Nguyen / GMSARN Intenatonal Jounal 0 (06-8 R Model-Baed Newton Raphon Load Flow fo Dtbuton owe Syte Condeng Wnd Fa wth Aynchonou Geneato Tong Tuan han and an Le Nguyen Abtact Th pape
More informationState Feedback Controller Design via Takagi- Sugeno Fuzzy Model : LMI Approach
State Feedback Contolle Desgn va akag- Sugeno Fuzzy Model : LMI Appoach F. Khabe, K. Zeha, and A. Hamzaou Abstact In ths pape, we ntoduce a obust state feedback contolle desgn usng Lnea Matx Inequaltes
More informationInference for A One Way Factorial Experiment. By Ed Stanek and Elaine Puleo
Infeence fo A One Way Factoial Expeiment By Ed Stanek and Elaine Puleo. Intoduction We develop etimating equation fo Facto Level mean in a completely andomized one way factoial expeiment. Thi development
More informationMultistage Median Ranked Set Sampling for Estimating the Population Median
Jounal of Mathematcs and Statstcs 3 (: 58-64 007 ISSN 549-3644 007 Scence Publcatons Multstage Medan Ranked Set Samplng fo Estmatng the Populaton Medan Abdul Azz Jeman Ame Al-Oma and Kamaulzaman Ibahm
More informationSLIDING MODE APPLICATION IN SPEED SENSORLESS TORQUE CONTROL OF AN INDUCTION MOTOR
Copyght IFAC 15th ennal Wol Conge, Bacelona, Span SLIDING MODE APPLICAION IN SPEED SENSORLESS ORQUE CONROL OF AN INDUCION MOOR Kael Jezenk 1, Man Roč 1, Af Šabanovć 1 Unvety of Mabo, Faculty of Electcal
More informationContinuum structural topological optimization with dynamic stress response constraints
Contnuum tuctual topologcal optmzaton wth dynamc te epone contant Bn Xu 1*, Le Zhao 1 and Wenyu L 1 1 School of Mechanc, Cvl Engneeng & Achtectue, Nothweten Polytechncal Unvety, X an 717, PR Chna Abtact
More informationActuator Fault Estimation Based on LPV Unknown Input Observer for Induction Machine
Studes n Infomatcs and Contol 26 (3) 295-304, Septembe 207. Intoducton ISSN: 220-766 eissn: 84-429X 295 Actuato Fault Estmaton Based on LPV Unknown Input Obseve fo Inducton Machne Ahmed AMRANE *, Abdelkade
More informationNew Condition of Stabilization of Uncertain Continuous Takagi-Sugeno Fuzzy System based on Fuzzy Lyapunov Function
I.J. Intellgent Systems and Applcatons 4 9-5 Publshed Onlne Apl n MCS (http://www.mecs-pess.og/) DOI:.585/sa..4. New Condton of Stablzaton of Uncetan Contnuous aag-sugeno Fuzzy System based on Fuzzy Lyapunov
More informationMechanical design of IM. Torque Control of. Induction Machines... Slip ring rotor. Mathematical model. r r. Stator same as PMSM Rotor:
Toqe ontol of Incton Machne... a copae to PMSM Intal Electcal Engneeng an Atoaton Mechancal egn of IM Stato ae a PMSM oto: at aln Won coppe /Slp ng Intal Electcal Engneeng an Atoaton n Unvety, Sween Nan
More informationSensorless A.C. Drive with Vector Controlled Synchronous Motor
Seole A.C. Dve wth Vecto Cotolle Sychoo Moto Ořej Fše VŠB-echcal Uvety of Otava, Faclty of Electcal Egeeg a Ifomatc, Deatmet of Powe Electoc a Electcal Dve, 17.ltoa 15, 78 33 Otava-Poba, Czech eblc oej.fe@vb.cz
More informationJournal of Engineering Sciences, Assiut University, Vol. 39, No 1, pp , January 2011
Jounal of Engneeng Scence, Aut Unvety, ol. 39, No, pp. 87-98, Januay 0 ECUSIE EAST SQUAE AGOITHM FO ESTIMATING PAAMETES OF AN INDUCTION MOTO Yeha S. Mohamed Electcal Engneeng Depatment, Mna Un., Egypt
More informationMachine Learning. Spectral Clustering. Lecture 23, April 14, Reading: Eric Xing 1
Machne Leanng -7/5 7/5-78, 78, Spng 8 Spectal Clusteng Ec Xng Lectue 3, pl 4, 8 Readng: Ec Xng Data Clusteng wo dffeent ctea Compactness, e.g., k-means, mxtue models Connectvty, e.g., spectal clusteng
More informationIf there are k binding constraints at x then re-label these constraints so that they are the first k constraints.
Mathematcal Foundatons -1- Constaned Optmzaton Constaned Optmzaton Ma{ f ( ) X} whee X {, h ( ), 1,, m} Necessay condtons fo to be a soluton to ths mamzaton poblem Mathematcally, f ag Ma{ f ( ) X}, then
More informationV. Principles of Irreversible Thermodynamics. s = S - S 0 (7.3) s = = - g i, k. "Flux": = da i. "Force": = -Â g a ik k = X i. Â J i X i (7.
Themodynamcs and Knetcs of Solds 71 V. Pncples of Ievesble Themodynamcs 5. Onsage s Teatment s = S - S 0 = s( a 1, a 2,...) a n = A g - A n (7.6) Equlbum themodynamcs detemnes the paametes of an equlbum
More informationMagnetic Flux Density Feedback Control for Permanent Magnetic- Electromagnetic Hybrid Suspension System
MATEC Web of Confeence 95, 5 (7 DOI:.5/ atecconf/7955 ICMME 6 Magnetc Flux Denty Feedback Contol fo Peanent Magnetc- Electoagnetc Hybd Supenon Syte Qang CHEN, Je LI, Guanchun LI, Syang ZHOU College of
More informationSimulink Model of Direct Torque Control of Induction Machine
Ameican Jounal of Applied Science 5 (8): 1083-1090, 2008 ISSN 1546-9239 2008 Science Publication Simulink Model of Diect Toque Contol of Induction Machine H.F. Abdul Wahab and H. Sanui Faculty of Engineeing,
More informationPhysics Exam II Chapters 25-29
Physcs 114 1 Exam II Chaptes 5-9 Answe 8 of the followng 9 questons o poblems. Each one s weghted equally. Clealy mak on you blue book whch numbe you do not want gaded. If you ae not sue whch one you do
More informationRigid Bodies: Equivalent Systems of Forces
Engneeng Statcs, ENGR 2301 Chapte 3 Rgd Bodes: Equvalent Sstems of oces Intoducton Teatment of a bod as a sngle patcle s not alwas possble. In geneal, the se of the bod and the specfc ponts of applcaton
More informationCHAPTER 6 VECTOR CONTROL ON DOUBLE OUTPUT INDUCTION GENERATOR FOR VARIABLE SPEED WIND ENERGY CONVERSION SYSTEMS
CHAPTER 6 VECTOR CONTROL ON DOUBLE OUTPUT INDUCTION GENERATOR FOR VARIABLE SPEED WIND ENERGY CONVERSION SYSTEMS 6.1 Intoucton Woun oto nucton machne ue n vaable pee WECS a hown n fgue 1.4 an 3.6 known
More informationChapter Fifiteen. Surfaces Revisited
Chapte Ffteen ufaces Revsted 15.1 Vecto Descpton of ufaces We look now at the vey specal case of functons : D R 3, whee D R s a nce subset of the plane. We suppose s a nce functon. As the pont ( s, t)
More informationDevelopment of Model Reduction using Stability Equation and Cauer Continued Fraction Method
Intenational Jounal of Electical and Compute Engineeing. ISSN 0974-90 Volume 5, Numbe (03), pp. -7 Intenational Reeach Publication Houe http://www.iphoue.com Development of Model Reduction uing Stability
More informationVariable Structure Control ~ Basics
Varable Structure Control ~ Bac Harry G. Kwatny Department of Mechancal Engneerng & Mechanc Drexel Unverty Outlne A prelmnary example VS ytem, ldng mode, reachng Bac of dcontnuou ytem Example: underea
More informationFuzzy Speed Regulator for Induction Motor Direct Torque Control Scheme
ACEEE Int. J. on Electical and Powe Engineeing, ol., No., Dec Fuzzy peed Regulato fo Induction Moto Diect Toque Contol cheme Jagadih H. Puja,. F. Kodad Reeach chola JNTU, Anantapu & Faculty Depatment of
More informationScalars and Vectors Scalar
Scalas and ectos Scala A phscal quantt that s completel chaacteed b a eal numbe (o b ts numecal value) s called a scala. In othe wods a scala possesses onl a magntude. Mass denst volume tempeatue tme eneg
More informationPart V: Velocity and Acceleration Analysis of Mechanisms
Pat V: Velocty an Acceleaton Analyss of Mechansms Ths secton wll evew the most common an cuently pactce methos fo completng the knematcs analyss of mechansms; escbng moton though velocty an acceleaton.
More informationChapter I Matrices, Vectors, & Vector Calculus 1-1, 1-9, 1-10, 1-11, 1-17, 1-18, 1-25, 1-27, 1-36, 1-37, 1-41.
Chapte I Matces, Vectos, & Vecto Calculus -, -9, -0, -, -7, -8, -5, -7, -36, -37, -4. . Concept of a Scala Consde the aa of patcles shown n the fgue. he mass of the patcle at (,) can be epessed as. M (,
More informationStable Model Predictive Control Based on TS Fuzzy Model with Application to Boiler-turbine Coordinated System
5th IEEE Confeence on Decson and Contol and Euopean Contol Confeence (CDC-ECC) Olando, FL, USA, Decembe -5, Stable Model Pedctve Contol Based on S Fuy Model wth Applcaton to Bole-tubne Coodnated System
More informationSENSORLESS SPEED CONTROL SYSTEMS BASED ON ADAPTIVE OBSERVERS LUENBERGER AND GOPINATH
Annal of the Univeity of Caiova, Electical Engineeing eie, No. 32, 2008; ISSN 1842-4805 SENSORLESS SPEED CONTROL SYSTEMS BASED ON ADAPTIVE OBSERVERS LUENBERGER AND GOPINATH Maiu-Auelian PICIU, Lauenţiu
More informationThe Dynamic Modelling and Electrical Profiles of Three Phase Induction Motor Using MATLAB Program
nnovatve Sytem Degn an Engneeng SSN -177 ape SSN -871 Onlne ol.6 No.1 15 www.te.og he Dynamc oellng an Electcal ofle of hee hae nucton oto Ung AAB ogam E.S. Oluwaogo 1* O.D. Oune A.K. Babane.K. Okakwu
More informationGravity. David Barwacz 7778 Thornapple Bayou SE, Grand Rapids, MI David Barwacz 12/03/2003
avity David Bawacz 7778 Thonapple Bayou, and Rapid, MI 495 David Bawacz /3/3 http://membe.titon.net/daveb Uing the concept dicued in the peceding pape ( http://membe.titon.net/daveb ), I will now deive
More informationA Novel Discrete-Time Predictive Current Control for PMSM
A Novel Dicete-Time Peictive Cuent Contol fo SM Jung-Won Sun, Jin-Woo Lee, Jin-Ho Suh, Young-Jin Lee, an Kwon-Soon Lee Depatment of Electical Engineeing, Dong-A Univeity 840, Haan-ong, Saha-gu, Buan, 604-714,
More informationPHY126 Summer Session I, 2008
PHY6 Summe Sesson I, 8 Most of nfomaton s avalable at: http://nngoup.phscs.sunsb.edu/~chak/phy6-8 ncludng the sllabus and lectue sldes. Read sllabus and watch fo mpotant announcements. Homewok assgnment
More informationModeling and Adaptive Control of a Coordinate Measuring Machine
Modelng and Adaptve Contol of a Coodnate Measung Machne Â. Yudun Obak, Membe, IEEE Abstact Although tadtonal measung nstuments can povde excellent solutons fo the measuement of length, heght, nsde and
More informationPHYS 705: Classical Mechanics. Derivation of Lagrange Equations from D Alembert s Principle
1 PHYS 705: Classcal Mechancs Devaton of Lagange Equatons fom D Alembet s Pncple 2 D Alembet s Pncple Followng a smla agument fo the vtual dsplacement to be consstent wth constants,.e, (no vtual wok fo
More informationChapter 11. Supplemental Text Material. The method of steepest ascent can be derived as follows. Suppose that we have fit a firstorder
S-. The Method of Steepet cent Chapter. Supplemental Text Materal The method of teepet acent can be derved a follow. Suppoe that we have ft a frtorder model y = β + β x and we wh to ue th model to determne
More informationKhintchine-Type Inequalities and Their Applications in Optimization
Khntchne-Type Inequaltes and The Applcatons n Optmzaton Anthony Man-Cho So Depatment of Systems Engneeng & Engneeng Management The Chnese Unvesty of Hong Kong ISDS-Kolloquum Unvestaet Wen 29 June 2009
More informationExcellent web site with information on various methods and numerical codes for scattering by nonspherical particles:
Lectue 5. Lght catteng and abopton by atmophec patcuate. at 3: Scatteng and abopton by nonpheca patce: Ray-tacng, T- Matx, and FDTD method. Objectve:. Type of nonpheca patce n the atmophee.. Ray-tacng
More informationChapter 23: Electric Potential
Chapte 23: Electc Potental Electc Potental Enegy It tuns out (won t show ths) that the tostatc foce, qq 1 2 F ˆ = k, s consevatve. 2 Recall, fo any consevatve foce, t s always possble to wte the wok done
More informationExam 1. Sept. 22, 8:00-9:30 PM EE 129. Material: Chapters 1-8 Labs 1-3
Eam ept., 8:00-9:30 PM EE 9 Mateal: Chapte -8 Lab -3 tandadzaton and Calbaton: Ttaton: ue of tandadzed oluton to detemne the concentaton of an unknown. Rele on a eacton of known tochomet, a oluton wth
More informationPARAMETER OPTIMIZATION IN THE DESIGN OF A GRID-SIDE CONVERTER CONTROLLER IN THE LIGHT OF GRID FAULTS
IJRRAS 9 () Octobe www.apape.com/volume/vol9iue/ijrras_9 8.pdf PARAMETER OPTIMIZATION IN THE DESIGN OF A GRIDSIDE CONVERTER CONTROLLER IN THE LIGHT OF GRID FAULTS C.A. Nwou & C.U. Ogbua Depatment of Electcal
More information19 The Born-Oppenheimer Approximation
9 The Bon-Oppenheme Appoxmaton The full nonelatvstc Hamltonan fo a molecule s gven by (n a.u.) Ĥ = A M A A A, Z A + A + >j j (883) Lets ewte the Hamltonan to emphasze the goal as Ĥ = + A A A, >j j M A
More informationRobust Linear Parameter Varying Induction Motor Control with Polytopic Models
SERBIAN JOURNAL OF ELECRICAL ENGINEERING Vol. 1, No. 2, June 213, 335-348 UDK: 621.313.334:681.511.2 DOI: 1.2298/SJEE1212188D Robust Lnea Paamete Vayng Inducton Moto Contol wth Polytopc Models Khama Dalla
More informationAPPLICATIONS OF SEMIGENERALIZED -CLOSED SETS
Intenatonal Jounal of Mathematcal Engneeng Scence ISSN : 22776982 Volume Issue 4 (Apl 202) http://www.mes.com/ https://stes.google.com/ste/mesounal/ APPLICATIONS OF SEMIGENERALIZED CLOSED SETS G.SHANMUGAM,
More informationA. Thicknesses and Densities
10 Lab0 The Eath s Shells A. Thcknesses and Denstes Any theoy of the nteo of the Eath must be consstent wth the fact that ts aggegate densty s 5.5 g/cm (ecall we calculated ths densty last tme). In othe
More informationOptimization Methods: Linear Programming- Revised Simplex Method. Module 3 Lecture Notes 5. Revised Simplex Method, Duality and Sensitivity analysis
Optmzaton Meods: Lnea Pogammng- Revsed Smple Meod Module Lectue Notes Revsed Smple Meod, Dualty and Senstvty analyss Intoducton In e pevous class, e smple meod was dscussed whee e smple tableau at each
More information8 Baire Category Theorem and Uniform Boundedness
8 Bae Categoy Theoem and Unfom Boundedness Pncple 8.1 Bae s Categoy Theoem Valdty of many esults n analyss depends on the completeness popety. Ths popety addesses the nadequacy of the system of atonal
More information24-2: Electric Potential Energy. 24-1: What is physics
D. Iyad SAADEDDIN Chapte 4: Electc Potental Electc potental Enegy and Electc potental Calculatng the E-potental fom E-feld fo dffeent chage dstbutons Calculatng the E-feld fom E-potental Potental of a
More informationAn Approach to Inverse Fuzzy Arithmetic
An Appoach to Invese Fuzzy Athmetc Mchael Hanss Insttute A of Mechancs, Unvesty of Stuttgat Stuttgat, Gemany mhanss@mechaun-stuttgatde Abstact A novel appoach of nvese fuzzy athmetc s ntoduced to successfully
More informationMachine Learning 4771
Machne Leanng 4771 Instucto: Tony Jebaa Topc 6 Revew: Suppot Vecto Machnes Pmal & Dual Soluton Non-sepaable SVMs Kenels SVM Demo Revew: SVM Suppot vecto machnes ae (n the smplest case) lnea classfes that
More informationVector Control. Application to Induction Motor Control. DSP in Motion Control - Seminar
Vecto Contol Application to Induction Moto Contol Vecto Contol - Pinciple The Aim of Vecto Contol is to Oient the Flux Poducing Component of the Stato Cuent to some Suitable Flux Vecto unde all Opeating
More information