About phases dependence in a switched reluctance generator

Size: px
Start display at page:

Download "About phases dependence in a switched reluctance generator"

Transcription

1 Aout phses dependene n swthed relutne genertor Ds,. J., Coelho, A. nd Fleury, A. Deprtmento de Engenhr d Unversdde Ctól de Goás (UCG) Av. Unverstár, 144, Áre III, Bloo G, Sl 18, CEP , Goân-GO, Brsl E-mls:rentojyme@hotml.om, oelho.ee@gml.om, fleury@terr.om.r Astrt. Ths pper nlyses nd dsusses the phse s dependene of the swthed relutne genertor - SG. A 6x4 SG prototype ws ssemlng for tests. Eh one of ths SG phses n e onneted nd dsonneted when needed. A redued swthes ount onverter tht ws use to drve the SG. Expermentl results showed hnges n the hrtersts wve forms of two opertonl phses when the thrd phse s dsonneted. At frst sght, t ws n unexpeted result [1], [2]. Although mny tests were ondued onfrmng the frst result. Therefore, t should e sy tht for the prototype tested under the ondued testng ondtons eh phse ehvor depends n the other phses ehve. emrkle hnges n the wveforms those re present here. They show tht there s not ndependene etween the phses ut truly strong dependene mong them. Key words Swthed relutne genertor (SG), redued swthes ount, phse s dependene, phse voltge, mutul ndutne. 1. Nomenlture v ω λ θ t n e Phse voltge Phse urrent Phse resstne Phse ndutne Angulr speed Flux lnkge otor ngulr poston Tme Numer of phse elutne Bk eletromotve fore Mxmum ndutne mx Mnmum ndutne mn 2. Introduton The prnple of operton of the swthed relutne mhne s knew sne the egnnng of the eletrl mhnes development. Soon the drvng of these mhnes proved to e somewht omplex. The dvnes on power eletrons nd mro proessng n the lst dede renewed the expetnes. In ft, modern power eletron onverters ssoted wth mro proessed ontrol hrdwre hve rought ompettveness to SG drven systems, llowng ther effent nd relle use. Therefore, the SG sprouted gn n new sene. Ths pper fouses the SG. In these mhnes phse ols re onentrted wndngs n the sttor poles. There re no wndngs n ts rotor. The douly slent poles struture s hrterst nherent to these mhnes. Therefore, there s mnml therml loss n the rotor. A SG s esy to onstrut nd to mntn. Its ommonly quoted dvntges re the sene of permnent mgnets, low mnufturng osts, rellty, roustness nd effeny. The opertonl speed rnge s very wde. Though these dvntges hve lredy een onfrmng, some spets of these mhnes must e mentonng here: there s strong mgnet dsontnuty provdng urrent, voltge nd torque rpples tht should e properly ontrollng. The power eletrons requrements to ontrol SG re sometmes quotng s dsdvntge of ths knd of mhne. Furthermore, they re lttle nosy. Due to ts dvntges, SG re onsderng s spel eletrl genertor for wnd power. Fg. 1 shows tht swthed relutne mhne works s motor or s genertor dependng on the frng ngles [4]. Alet the deve s the sme, the Swthed elutne Genertor (SG) s dfferent from the Swthed elutne Motor (SM) n some spef nd essentl spets: the SG hs mehnl nput - the torque t ts shft - nd n eletrl nput the extton power. Its output s the eletrl power suppled to the lod. Ths mhne presents two dfferent eletr rut onfgurtons per phse: one for ts extton nd nother for the generton perod. The SM hs n eletrl nput, mehnl output nd just one mn eletr rut per phse E&PQJ, Vol. 1, No.6, Mrh 28

2 seond term s the ndutve voltge fll nd the thrd one s the k eletromotve fore EMF s gve y: = ω θ e (6) Fg. 1 - Motor nd genertor modes for Swthed elutne Mhne. The eletrl nd mgnet ndependene of the phses re frequently quotng s dvntge of the Swthed elutne Motors. Ths rtle nlyses nd dsusses ths spet t SG. It ws reveled tht there s dependene mong the SG phses. Expermentl results those re present to proof ths pont. 3. Mthemtl model A SG s DC mhne. Its phse s extton requres DC soure. A onverter s used to drve the deve. Fg. 2 shows the shem of the onverter used to get the expermentl results presented here. The sttor wndng s feedng n DC. As ω nd re oth postve, the sgn of e s the sme s tht of. From (6) t n e seen tht when > the k eletromotve fore s postve. In ths se, eletr power s onvertng to mehnl power nd the mhne works s motor. However, when < the k eletromotve fore s negtve nd t nreses the urrent onvertng mehnl power nto eletrl power [4]. The dynm mehnl equton for the SG s gvng y (3). It s to e notng tht the eletromgnet torque C emg omes s negtve quntty,. e., tng gnst the rotor mehnl speed. dω C + C J D. ω = (7) m emg y: The o-energy of phse of ths mhne s gven o W = λ d (8) And the orrespondng eletromgnet torque for n n phse SG s gven y: C Wx x θ = n emg = 1 o (9) The mthemtl model of the SG regrdng three-phse prototype s show elow: Fg. 2 - Eletrl sheme of the onverter topology used. The phse wndng voltge tht s gven y: λ v = + t (1) As λ s: Therefore: Where = λ (2) d d dθ λ = + dθ d d v + + ω d θ (3) = (4) dθ = ω The frst term of the seond memer of the equton (4) s the voltge fll over the resstne of the ol. The (5) Where: v v v = r Cm o + o r J r D 1 θ & & θ & & ω & θ 1 + ω θ (1) o W r = ; W r = nd W r = (11) 78 E&PQJ, Vol. 1, No.6, Mrh 28

3 If the mtres ove re desgntng [V], [], [I], [] nd [ I ] extly n the order they pper n (12), the mtrx of sttes for the SG hs the form: 4. Smulton [ I ] = [] -1 [V] - [] -1 [][I] (12) The smultons were do usng from smll prototype of SG. Its prmeters nd dmensons re gvng n Tle I. TABE I. Chrterst of SG used Prmeter Vlue Unts Sttor Dmeter 14 mm otor Dmeter 7 mm Stk ength 17 mm Ar Gp ength.4 mm Sttor Teeth Wh 19 mm otor Teeth Wh 2 mm Sttor Slot 22.5 mm otor Slot 11.7 mm Sttor Yoke 12 mm otor Yoke 12.4 mm Shft Dmeter 22 mm Numer of turns per 5 Turns/phse phse Inert.28 Kg.m 2 Coeffent of Frton.26 N.m.s Indutne 36 mh Shft Dmeter 22 mm Numer of turns per 5 Turns/phse phse Inert.28 Kg.m 2 Coeffent of Frton.26 N.m.s Indutne 36 mh Shft Dmeter 22 mm Numer of turns per 5 Turns/phse phse Inert.28 Kg.m 2 Coeffent of Frton.26 N.m.s nstntneous rotor poston. Therefore, the mtrx of sttes ws evlutor onsderng the sturton effets. The powers omng from n AC soure, whh, long wth retfer rdge tht, exte the SG. As result, t supples the lod through ts wndngs. The extton perod of eh phse egns when ts swthes re turnng on nd they strt to ondut. At ths moment the ndutne s stll nresng, the dodes re not ondutng nd the phse wndngs generte postve k eletromotve fore. The genertng perod strts when the ontrolled swthes re turnng off, the phse urrent s devted to the lod through the dode nd the phse wndngs generte negtve k eletromotve fore due to the hnge of sgn. Fg. 3 shows the proess desred ove. od voltge otned from equton (2). Fg. 3 - Extton nd generton perods. The mtrx of sttes ove equton (8) - ws hek usng omputng progrm whose nputs re the phse voltges nd the mehnl torque. The outputs re the phse urrents, the ngulr speed nd the rotor poston. Eh new set of vlues for the phse voltges nd the torque ws use to evlute the next stte. The progrm uses dynm vlues tht result from the reltonshp mong the omponents of the onverter rut nd from the reltons mong them nd the AC soure, the retfer rdge, the mhne nd the lod. Only the nformton of the rotor poston s neessry to ontrol the gte sgnls. Fg. 4 shows tht the mesured vlues for the voltge over wndng mth the results predted y smulton. Indutne 36 mh Indutne (Unlgned 3 mh Poston) Condutng Angle 3 degrees Mesurements of the flux lnkge (λ) were done for mny rotor postons (θ), lso onsderng dfferent urrent vlues for eh one of them. These mesurements resulted n lrge nk of the funton λ (θ, ). Usng ths nk, progrm for polynoml nterpolton ws onstrutng to represent the ndutne of phse s funton of ts urrent nd the Fg. 4 - Voltge nd urrent over wndng. Smulton nd expermentl results for the voltge E&PQJ, Vol. 1, No.6, Mrh 28

4 5. Expermentl esults The nlyss of the lk of phse n Swthed elutne Motors s known n some smultons [1], [2]. The prototype onstruted for testng enles to test the effets of the lk of ny phse n Swthed elutne Genertor expermentlly. Ths llows one to nlyze the dependene or ndependene mong the phses. The expermentl results hve een hevng from the prototype lredy spefed. The onverter used ws not the onventonl hlf rdge one ut tht showed n Fg. 2. The omprtve lwys were otned from the phse A wndngs. The speed of the mhne stood t 1155 rpm ll the tme. The extton voltge ws lwys of 35.5V. The sme resstve lod remned n the output n ll the tests ondued. Fg. 5 shows extton nd the generted voltges n the phse when ll the three phses were onnet nd tvted. The extton voltge ws 35.5V wth urrent of 1.6A. The lod ws feedng wth 74.47V, 6.89A. Therefore, the SG ws genertng net power of 136.8W nd delverng t to the lod. Extton voltge mesurements over the lod were 64.1V nd 5.94A. Thus, the net generted power delvered to the lod ws 79.36W. As wted ths vlue s dfferent from tht found wth ll the three phses. However, wth 33% off, 136.8W stll gves 91.19W s result. Ths vlue s expressvely greter thn the 79.3W found. Ths dfferene shows tht there s strong dependene mong the phses of the SG. When phse s dsonneted, the other two phses generte eh one less power thn they do when ll they work together. Extton voltge Generted voltge 1) Ch 2: 2 Volt 2 ms Fg. 7 - Extton voltge nd generted voltge wth the lk of phse B. Fg. 8 shows the wveform for the urrent n the two tve phse wndngs. Generted voltge 1) Ch 2: 2 Volt 2 ms Fg. 5 - Extton nd generted voltge over phse wndng. A B C Delng wth resstve lod the voltge nd the urrent were n phse. The wveform of the urrent s showng n Fg. 6. 1) Ch 1: 5 mvolt 2 ms Fg. 8 - Wveform for the urrent n the two tve phse s wndngs. 4. Conlusons A B C 1) Ch 1: 5 mvolt 2 ms Fg. 6 - Current wveform when the SG opertes wth ts three phses. In Fg. 7 t n e seen the extton voltge nd the generted voltge wth the lk of the phse B. The extton ws of 35.5V nd 8.49A. The orrespondng Mny mportnt works show the ndependene of the phses n swthed relutne motor. Ths pper fouses ths mtter regrdng for SG. It presents expermentl results tht showng tht the phses presented ler dependene onsderng the prototype nd the onverter used n testng. In ft, these results show hrd mutul nfluene mong the three phses. Not only the wveforms ut lso the vlues hnge when just one phse s dsonneted. Ths result lms for deeper nvestgton. Ths nvestgton must onsder the mutul ndutne. eferenes [1] Hussn, I., dun, A., Nrus, J., Fult Anlyss nd extton requrements for Swthed elutne E&PQJ, Vol. 1, No.6, Mrh 28

5 Genertors, IEEE Trnstons on Energy Converson, Volume 17, Issue 1, mrh 22, pp [2] Swt, T., Kjer, P. C., Cossr, C., Mller, T. J. E., Hysh, Y., Fult-Tolernt Operton of Sngle Phse S Genertors, IEEE Trnstons on Industry Applton, Volume 35, Issue 4, July-Aug 1999, pp [3] Fleury, A., Andrde, D. A., Slv, F. S., Domngos, J.., Swthed elutne Genertors Behvor under Dfferent Condtons, ISIE 7 reords, 27. [4] Swt, T., The Swthed elutne Genertor, Eletron Control of Swthed elutne Mhnes, Edted y T. J. E. Mller, Newness Power Engneerng Seres, 21, pp E&PQJ, Vol. 1, No.6, Mrh 28

" = #N d$ B. Electromagnetic Induction. v ) $ d v % l. Electromagnetic Induction and Faraday s Law. Faraday s Law of Induction

 = #N d$ B. Electromagnetic Induction. v ) $ d v % l. Electromagnetic Induction and Faraday s Law. Faraday s Law of Induction Eletromgnet Induton nd Frdy s w Eletromgnet Induton Mhel Frdy (1791-1867) dsoered tht hngng mgnet feld ould produe n eletr urrent n ondutor pled n the mgnet feld. uh urrent s lled n ndued urrent. The phenomenon

More information

Abhilasha Classes Class- XII Date: SOLUTION (Chap - 9,10,12) MM 50 Mob no

Abhilasha Classes Class- XII Date: SOLUTION (Chap - 9,10,12) MM 50 Mob no hlsh Clsses Clss- XII Dte: 0- - SOLUTION Chp - 9,0, MM 50 Mo no-996 If nd re poston vets of nd B respetvel, fnd the poston vet of pont C n B produed suh tht C B vet r C B = where = hs length nd dreton

More information

Lecture 7 Circuits Ch. 27

Lecture 7 Circuits Ch. 27 Leture 7 Cruts Ch. 7 Crtoon -Krhhoff's Lws Tops Dret Current Cruts Krhhoff's Two ules Anlyss of Cruts Exmples Ammeter nd voltmeter C ruts Demos Three uls n rut Power loss n trnsmsson lnes esstvty of penl

More information

Solution of Tutorial 5 Drive dynamics & control

Solution of Tutorial 5 Drive dynamics & control ELEC463 Unversty of New South Wles School of Electrcl Engneerng & elecommunctons ELEC463 Electrc Drve Systems Queston Motor Soluton of utorl 5 Drve dynmcs & control 500 rev/mn = 5.3 rd/s 750 rted 4.3 Nm

More information

Hysteresis Band Controller Based Vector Control Of PMSG For Wind Power

Hysteresis Band Controller Based Vector Control Of PMSG For Wind Power ISSN (Onlne) : 2319-8753 ISSN (Prnt) : 2347-671 Interntonl Journl of Innovtve Reserh n Sene, Engneerng nd Tehnology Volume 3, Spel Issue 3, Mrh 214 214 Interntonl Conferene on Innovtons n Engneerng nd

More information

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC Introducton Rnk One Updte And the Google Mtrx y Al Bernsten Sgnl Scence, LLC www.sgnlscence.net here re two dfferent wys to perform mtrx multplctons. he frst uses dot product formulton nd the second uses

More information

SIMULATION OF ELECTROMAGNETIC PHENOMENA DUE TO INDIRECT LIGHTNING STRIKES ON WIND TURBINES

SIMULATION OF ELECTROMAGNETIC PHENOMENA DUE TO INDIRECT LIGHTNING STRIKES ON WIND TURBINES SEF 2 - XV nterntonl Symposum on Eletromgnet Felds n Mehtrons, Eletrl nd Eletron Engneerng Funhl, Mder, Septemer -3, 2 SMULATON OF ELECTROMAGNETC PHENOMENA DUE TO NDRECT LGHTNNG STRKES ON WND TURBNES R.B.

More information

8 THREE PHASE A.C. CIRCUITS

8 THREE PHASE A.C. CIRCUITS 8 THREE PHSE.. IRUITS The signls in hpter 7 were sinusoidl lternting voltges nd urrents of the so-lled single se type. n emf of suh type n e esily generted y rotting single loop of ondutor (or single winding),

More information

VECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors

VECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors 1. Defnton A vetor s n entt tht m represent phsl quntt tht hs mgntude nd dreton s opposed to slr tht ls dreton.. Vetor Representton A vetor n e represented grphll n rrow. The length of the rrow s the mgntude

More information

Cross-section section of DC motor. How does a DC Motor work? 2 Commutator Bars N X. DC Motors 26.1

Cross-section section of DC motor. How does a DC Motor work? 2 Commutator Bars N X. DC Motors 26.1 DC Motors 26.1 How does DC Motor work? Crosssection section of DC motor Mgnetic field vector, B oft Iron Core (otor) Wire length vector, dl Force vector, df Current, i Permnent Mgnet (ttor) Crosssection

More information

Proving the Pythagorean Theorem

Proving the Pythagorean Theorem Proving the Pythgoren Theorem W. Bline Dowler June 30, 2010 Astrt Most people re fmilir with the formul 2 + 2 = 2. However, in most ses, this ws presented in lssroom s n solute with no ttempt t proof or

More information

Concept of Activity. Concept of Activity. Thermodynamic Equilibrium Constants [ C] [ D] [ A] [ B]

Concept of Activity. Concept of Activity. Thermodynamic Equilibrium Constants [ C] [ D] [ A] [ B] Conept of Atvty Equlbrum onstnt s thermodynm property of n equlbrum system. For heml reton t equlbrum; Conept of Atvty Thermodynm Equlbrum Constnts A + bb = C + dd d [C] [D] [A] [B] b Conentrton equlbrum

More information

Synchronous Generator Modeling Using SimuLink

Synchronous Generator Modeling Using SimuLink ynhronou Genertor Moelng Ung mun Outlne ner Moel Ung Eulent Crut ner Moel Ung Emee Mt Nonlner Moel Eulent Crut on Ax From we get m m l m t t m l r ) ( t t m l ) ( t t m l ) ( Eulent Crut on Ax From we

More information

Project 6: Minigoals Towards Simplifying and Rewriting Expressions

Project 6: Minigoals Towards Simplifying and Rewriting Expressions MAT 51 Wldis Projet 6: Minigols Towrds Simplifying nd Rewriting Expressions The distriutive property nd like terms You hve proly lerned in previous lsses out dding like terms ut one prolem with the wy

More information

Modeling and Simulation of Permanent Magnet Brushless Motor Drives using Simulink

Modeling and Simulation of Permanent Magnet Brushless Motor Drives using Simulink INDIAN INSTITUTE OF TECHNOLOGY, KHARAGPUR 72102, DECEMBER 27-29, 2002 25 Modeling nd Simultion of Permnent Mgnet Brushless Motor Dries using Simulink Mukesh Kumr, Bhim Singh nd B.P.Singh Astrt: Permnent

More information

CS 2204 DIGITAL LOGIC & STATE MACHINE DESIGN SPRING 2014

CS 2204 DIGITAL LOGIC & STATE MACHINE DESIGN SPRING 2014 S 224 DIGITAL LOGI & STATE MAHINE DESIGN SPRING 214 DUE : Mrh 27, 214 HOMEWORK III READ : Relte portions of hpters VII n VIII ASSIGNMENT : There re three questions. Solve ll homework n exm prolems s shown

More information

ELE B7 Power Systems Engineering. Power System Components Modeling

ELE B7 Power Systems Engineering. Power System Components Modeling Power Systems Engineering Power System Components Modeling Section III : Trnsformer Model Power Trnsformers- CONSTRUCTION Primry windings, connected to the lternting voltge source; Secondry windings, connected

More information

1 This diagram represents the energy change that occurs when a d electron in a transition metal ion is excited by visible light.

1 This diagram represents the energy change that occurs when a d electron in a transition metal ion is excited by visible light. 1 This igrm represents the energy hnge tht ours when eletron in trnsition metl ion is exite y visile light. Give the eqution tht reltes the energy hnge ΔE to the Plnk onstnt, h, n the frequeny, v, of the

More information

The Schur-Cohn Algorithm

The Schur-Cohn Algorithm Modelng, Estmton nd Otml Flterng n Sgnl Processng Mohmed Njm Coyrght 8, ISTE Ltd. Aendx F The Schur-Cohn Algorthm In ths endx, our m s to resent the Schur-Cohn lgorthm [] whch s often used s crteron for

More information

Trigonometry. Trigonometry. Solutions. Curriculum Ready ACMMG: 223, 224, 245.

Trigonometry. Trigonometry. Solutions. Curriculum Ready ACMMG: 223, 224, 245. Trgonometry Trgonometry Solutons Currulum Redy CMMG:, 4, 4 www.mthlets.om Trgonometry Solutons Bss Pge questons. Identfy f the followng trngles re rght ngled or not. Trngles,, d, e re rght ngled ndted

More information

Novel Modulation Schemes Minimizing the Switching Losses of Sparse Matrix Converters

Novel Modulation Schemes Minimizing the Switching Losses of Sparse Matrix Converters Novel Modlton Shemes Mnmzng the Swthng Losses of Sprse Mtrx Converters Johnn W. Kolr nd Frnk Shfmester ETH Zrh, Power Eletron Systems Lortory ETH Zentrm / ETL H, Physkstr. 3, CH-9 Zrh/SWTZERLAND Tel.:

More information

NON-DETERMINISTIC FSA

NON-DETERMINISTIC FSA Tw o types of non-determinism: NON-DETERMINISTIC FS () Multiple strt-sttes; strt-sttes S Q. The lnguge L(M) ={x:x tkes M from some strt-stte to some finl-stte nd ll of x is proessed}. The string x = is

More information

where the box contains a finite number of gates from the given collection. Examples of gates that are commonly used are the following: a b

where the box contains a finite number of gates from the given collection. Examples of gates that are commonly used are the following: a b CS 294-2 9/11/04 Quntum Ciruit Model, Solovy-Kitev Theorem, BQP Fll 2004 Leture 4 1 Quntum Ciruit Model 1.1 Clssil Ciruits - Universl Gte Sets A lssil iruit implements multi-output oolen funtion f : {0,1}

More information

Effectiveness and Efficiency Analysis of Parallel Flow and Counter Flow Heat Exchangers

Effectiveness and Efficiency Analysis of Parallel Flow and Counter Flow Heat Exchangers Interntonl Journl of Applton or Innovton n Engneerng & Mngement (IJAIEM) Web Ste: www.jem.org Eml: edtor@jem.org Effetveness nd Effeny Anlyss of Prllel Flow nd Counter Flow Het Exngers oopes wr 1, Dr.Govnd

More information

Industrial Electrical Engineering and Automation

Industrial Electrical Engineering and Automation CODEN:LUTEDX/(TEIE-719)/1-7/(7) Industril Electricl Engineering nd Automtion Estimtion of the Zero Sequence oltge on the D- side of Dy Trnsformer y Using One oltge Trnsformer on the D-side Frncesco Sull

More information

I1 = I2 I1 = I2 + I3 I1 + I2 = I3 + I4 I 3

I1 = I2 I1 = I2 + I3 I1 + I2 = I3 + I4 I 3 2 The Prllel Circuit Electric Circuits: Figure 2- elow show ttery nd multiple resistors rrnged in prllel. Ech resistor receives portion of the current from the ttery sed on its resistnce. The split is

More information

1 PYTHAGORAS THEOREM 1. Given a right angled triangle, the square of the hypotenuse is equal to the sum of the squares of the other two sides.

1 PYTHAGORAS THEOREM 1. Given a right angled triangle, the square of the hypotenuse is equal to the sum of the squares of the other two sides. 1 PYTHAGORAS THEOREM 1 1 Pythgors Theorem In this setion we will present geometri proof of the fmous theorem of Pythgors. Given right ngled tringle, the squre of the hypotenuse is equl to the sum of the

More information

Quiz: Experimental Physics Lab-I

Quiz: Experimental Physics Lab-I Mxmum Mrks: 18 Totl tme llowed: 35 mn Quz: Expermentl Physcs Lb-I Nme: Roll no: Attempt ll questons. 1. In n experment, bll of mss 100 g s dropped from heght of 65 cm nto the snd contner, the mpct s clled

More information

KULLBACK-LEIBLER DISTANCE BETWEEN COMPLEX GENERALIZED GAUSSIAN DISTRIBUTIONS

KULLBACK-LEIBLER DISTANCE BETWEEN COMPLEX GENERALIZED GAUSSIAN DISTRIBUTIONS 0th Europen Sgnl Proessng Conferene (EUSIPCO 0) uhrest, Romn, August 7-3, 0 KULLACK-LEILER DISTANCE ETWEEN COMPLEX GENERALIZED GAUSSIAN DISTRIUTIONS Corn Nfornt, Ynnk erthoumeu, Ion Nfornt, Alexndru Isr

More information

Principle Component Analysis

Principle Component Analysis Prncple Component Anlyss Jng Go SUNY Bufflo Why Dmensonlty Reducton? We hve too mny dmensons o reson bout or obtn nsghts from o vsulze oo much nose n the dt Need to reduce them to smller set of fctors

More information

Lec 3: Power System Components

Lec 3: Power System Components Lec 3: Power System Components Dr. Mlbik Bsu 8/0/2009 Lesson pln 3 nd L.O. Sequence nlysis exmple ( detil fult nlysis next sem) Trnsformer model recp, tp chnge nd phse chnge, 3-phse Modeling of Synchronous

More information

Lecture 6. CMOS Static & Dynamic Logic Gates. Static CMOS Circuit. PMOS Transistors in Series/Parallel Connection

Lecture 6. CMOS Static & Dynamic Logic Gates. Static CMOS Circuit. PMOS Transistors in Series/Parallel Connection NMOS Trnsistors in Series/Prllel onnetion Leture 6 MOS Stti & ynmi Logi Gtes Trnsistors n e thought s swith ontrolled y its gte signl NMOS swith loses when swith ontrol input is high Peter heung eprtment

More information

Physics 41 Chapter 22 HW Serway 7 th Edition

Physics 41 Chapter 22 HW Serway 7 th Edition yss 41 apter H Serway 7 t Edton oneptual uestons: 1,, 8, 1 roblems: 9, 1, 0,, 7, 9, 48, 54, 55 oneptual uestons: 1,, 8, 1 1 Frst, te effeny of te automoble engne annot exeed te arnot effeny: t s lmted

More information

Introduction to Numerical Integration Part II

Introduction to Numerical Integration Part II Introducton to umercl Integrton Prt II CS 75/Mth 75 Brn T. Smth, UM, CS Dept. Sprng, 998 4/9/998 qud_ Intro to Gussn Qudrture s eore, the generl tretment chnges the ntegrton prolem to ndng the ntegrl w

More information

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter.4 Newton-Rphson Method of Solvng Nonlner Equton After redng ths chpter, you should be ble to:. derve the Newton-Rphson method formul,. develop the lgorthm of the Newton-Rphson method,. use the Newton-Rphson

More information

9.1 Day 1 Warm Up. Solve the equation = x x 2 = March 1, 2017 Geometry 9.1 The Pythagorean Theorem 1

9.1 Day 1 Warm Up. Solve the equation = x x 2 = March 1, 2017 Geometry 9.1 The Pythagorean Theorem 1 9.1 Dy 1 Wrm Up Solve the eqution. 1. 4 2 + 3 2 = x 2 2. 13 2 + x 2 = 25 2 3. 3 2 2 + x 2 = 5 2 2 4. 5 2 + x 2 = 12 2 Mrh 1, 2017 Geometry 9.1 The Pythgoren Theorem 1 9.1 Dy 2 Wrm Up Use the Pythgoren

More information

TELCOM 2130 Time Varying Queues. David Tipper Associate Professor Graduate Telecommunications and Networking Program University of Pittsburgh Slides 7

TELCOM 2130 Time Varying Queues. David Tipper Associate Professor Graduate Telecommunications and Networking Program University of Pittsburgh Slides 7 TELOM 3 Tme Vryng Queues Dvd Tpper Assote Professor Grdute Teleommuntons nd Networkng Progrm Unversty of Pttsburgh ldes 7 Tme Vryng Behvor Teletrff typlly hs lrge tme of dy vrtons Men number of lls per

More information

= x x 2 = 25 2

= x x 2 = 25 2 9.1 Wrm Up Solve the eqution. 1. 4 2 + 3 2 = x 2 2. 13 2 + x 2 = 25 2 3. 3 2 2 + x 2 = 5 2 2 4. 5 2 + x 2 = 12 2 Mrh 7, 2016 Geometry 9.1 The Pythgoren Theorem 1 Geometry 9.1 The Pythgoren Theorem 9.1

More information

Digital Electronics Part I Combinational and Sequential Logic

Digital Electronics Part I Combinational and Sequential Logic 9//24 Dgtl Eletrons Prt I Comntonl nd Sequentl Log Dr I J Wssell Introduton 9//24 Ams To fmlrse students wth Comntonl log ruts Sequentl log ruts How dgtl log gtes re ult usng trnsstors Desgn nd uld of

More information

1/4/13. Outline. Markov Models. Frequency & profile model. A DNA profile (matrix) Markov chain model. Markov chains

1/4/13. Outline. Markov Models. Frequency & profile model. A DNA profile (matrix) Markov chain model. Markov chains /4/3 I529: Mhne Lernng n onformts (Sprng 23 Mrkov Models Yuzhen Ye Shool of Informts nd omputng Indn Unversty, loomngton Sprng 23 Outlne Smple model (frequeny & profle revew Mrkov hn pg slnd queston Model

More information

NEW CIRCUITS OF HIGH-VOLTAGE PULSE GENERATORS WITH INDUCTIVE-CAPACITIVE ENERGY STORAGE

NEW CIRCUITS OF HIGH-VOLTAGE PULSE GENERATORS WITH INDUCTIVE-CAPACITIVE ENERGY STORAGE NEW CIRCUITS OF HIGH-VOLTAGE PULSE GENERATORS WITH INDUCTIVE-CAPACITIVE ENERGY STORAGE V.S. Gordeev, G.A. Myskov Russin Federl Nuler Center All-Russi Sientifi Reserh Institute of Experimentl Physis (RFNC-VNIIEF)

More information

Learning Enhancement Team

Learning Enhancement Team Lernng Enhnement Tem Worsheet: The Cross Produt These re the model nswers for the worsheet tht hs questons on the ross produt etween vetors. The Cross Produt study gude. z x y. Loong t mge, you n see tht

More information

Tutorial Worksheet. 1. Find all solutions to the linear system by following the given steps. x + 2y + 3z = 2 2x + 3y + z = 4.

Tutorial Worksheet. 1. Find all solutions to the linear system by following the given steps. x + 2y + 3z = 2 2x + 3y + z = 4. Mth 5 Tutoril Week 1 - Jnury 1 1 Nme Setion Tutoril Worksheet 1. Find ll solutions to the liner system by following the given steps x + y + z = x + y + z = 4. y + z = Step 1. Write down the rgumented mtrix

More information

Designing Information Devices and Systems I Discussion 8B

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

More information

Shuai Dong. Using Math and Science to improve your game

Shuai Dong. Using Math and Science to improve your game Computtonl phscs Shu Dong Usng Mth nd Sene to mprove our gme Appromton of funtons Lner nterpolton Lgrnge nterpolton Newton nterpolton Lner sstem method Lest-squres ppromton Mllkn eperment Wht s nterpolton?

More information

Intermediate Math Circles Wednesday 17 October 2012 Geometry II: Side Lengths

Intermediate Math Circles Wednesday 17 October 2012 Geometry II: Side Lengths Intermedite Mth Cirles Wednesdy 17 Otoer 01 Geometry II: Side Lengths Lst week we disussed vrious ngle properties. As we progressed through the evening, we proved mny results. This week, we will look t

More information

MCA-205: Mathematics II (Discrete Mathematical Structures)

MCA-205: Mathematics II (Discrete Mathematical Structures) MCA-05: Mthemts II (Dsrete Mthemtl Strutures) Lesson No: I Wrtten y Pnkj Kumr Lesson: Group theory - I Vette y Prof. Kulp Sngh STRUCTURE.0 OBJECTIVE. INTRODUCTION. SOME DEFINITIONS. GROUP.4 PERMUTATION

More information

ELG4179: Wireless Communication Fundamentals S.Loyka. Frequency-Selective and Time-Varying Channels

ELG4179: Wireless Communication Fundamentals S.Loyka. Frequency-Selective and Time-Varying Channels Frequeny-Seletve and Tme-Varyng Channels Ampltude flutuatons are not the only effet. Wreless hannel an be frequeny seletve (.e. not flat) and tmevaryng. Frequeny flat/frequeny-seletve hannels Frequeny

More information

Mr. Mane S.G. 1, Mr. Powar R.V. 2

Mr. Mane S.G. 1, Mr. Powar R.V. 2 IOSR Journl of Computer Engneerng (IOSR-JCE) ISSN : 2278-066, ISBN : 2278-8727, PP : 5-9 www.osrjournls.org Fndng Attrbute Seleton Mesures by Computng Loss of Informton nd Ambguty for Dt Mr. Mne S.G.,

More information

GENERATING REFERENCE CURRENT AND VOLTAGE CONTROL OF STATIC COMPENSATOR DURING VOLTAGE SAGS

GENERATING REFERENCE CURRENT AND VOLTAGE CONTROL OF STATIC COMPENSATOR DURING VOLTAGE SAGS GENERATING REFERENCE CURRENT AND VOLTAGE CONTROL OF STATIC COMPENSATOR DURING VOLTAGE SAGS Thmeem Ansr R PG sholr, power systems engneerng, Dept. of eletrl nd eletrons engneerng J.J ollege of engneerng

More information

Dorf, R.C., Wan, Z. T- Equivalent Networks The Electrical Engineering Handbook Ed. Richard C. Dorf Boca Raton: CRC Press LLC, 2000

Dorf, R.C., Wan, Z. T- Equivalent Networks The Electrical Engineering Handbook Ed. Richard C. Dorf Boca Raton: CRC Press LLC, 2000 orf, R.C., Wn,. T- Equivlent Networks The Eletril Engineering Hndook Ed. Rihrd C. orf Bo Rton: CRC Press LLC, 000 9 T P Equivlent Networks hen Wn University of Cliforni, vis Rihrd C. orf University of

More information

Section 1.3 Triangles

Section 1.3 Triangles Se 1.3 Tringles 21 Setion 1.3 Tringles LELING TRINGLE The line segments tht form tringle re lled the sides of the tringle. Eh pir of sides forms n ngle, lled n interior ngle, nd eh tringle hs three interior

More information

Electrochemical Thermodynamics. Interfaces and Energy Conversion

Electrochemical Thermodynamics. Interfaces and Energy Conversion CHE465/865, 2006-3, Lecture 6, 18 th Sep., 2006 Electrochemcl Thermodynmcs Interfces nd Energy Converson Where does the energy contrbuton F zϕ dn come from? Frst lw of thermodynmcs (conservton of energy):

More information

Grid Connected Renewable Energy Sources with Four Leg Inverter for Power Quality Improvement

Grid Connected Renewable Energy Sources with Four Leg Inverter for Power Quality Improvement Proeedngs of tonl onferene on omputng, Eletrl, Eletrons nd Sustnle Energy Systems Grd onneted Renewle Energy Soures wth Four Leg verter for Power Qulty Improvement Y.nthonmm 1.Tejsr 2 1PG Sholr, Deprtment

More information

Magnetically Coupled Coil

Magnetically Coupled Coil Mgnetilly Coupled Ciruits Overview Mutul Indutne Energy in Coupled Coils Liner Trnsformers Idel Trnsformers Portlnd Stte University ECE 22 Mgnetilly Coupled Ciruits Ver..3 Mgnetilly Coupled Coil i v L

More information

Effects of polarization on the reflected wave

Effects of polarization on the reflected wave Lecture Notes. L Ros PPLIED OPTICS Effects of polrzton on the reflected wve Ref: The Feynmn Lectures on Physcs, Vol-I, Secton 33-6 Plne of ncdence Z Plne of nterfce Fg. 1 Y Y r 1 Glss r 1 Glss Fg. Reflecton

More information

332:221 Principles of Electrical Engineering I Fall Hourly Exam 2 November 6, 2006

332:221 Principles of Electrical Engineering I Fall Hourly Exam 2 November 6, 2006 2:221 Principles of Electricl Engineering I Fll 2006 Nme of the student nd ID numer: Hourly Exm 2 Novemer 6, 2006 This is closed-ook closed-notes exm. Do ll your work on these sheets. If more spce is required,

More information

CONTINUE ON LEADS PLACEMENT

CONTINUE ON LEADS PLACEMENT Hert Letrure ECG leds, ECE4610, Z. Moussv CONTINUE ON LEADS PLACEMENT A I L LA I II III 0 II F III Three ddtonl leds re unpolr eletrodes euse they onsst of the potentl pperng on one eletrode tken th respet

More information

I 3 2 = I I 4 = 2A

I 3 2 = I I 4 = 2A ECE 210 Eletril Ciruit Anlysis University of llinois t Chigo 2.13 We re ske to use KCL to fin urrents 1 4. The key point in pplying KCL in this prolem is to strt with noe where only one of the urrents

More information

POLYPHASE CIRCUITS. Introduction:

POLYPHASE CIRCUITS. Introduction: POLYPHASE CIRCUITS Introduction: Three-phse systems re commonly used in genertion, trnsmission nd distribution of electric power. Power in three-phse system is constnt rther thn pulsting nd three-phse

More information

Dennis Bricker, 2001 Dept of Industrial Engineering The University of Iowa. MDP: Taxi page 1

Dennis Bricker, 2001 Dept of Industrial Engineering The University of Iowa. MDP: Taxi page 1 Denns Brcker, 2001 Dept of Industrl Engneerng The Unversty of Iow MDP: Tx pge 1 A tx serves three djcent towns: A, B, nd C. Ech tme the tx dschrges pssenger, the drver must choose from three possble ctons:

More information

Solution of Tutorial 2 Converter driven DC motor drive

Solution of Tutorial 2 Converter driven DC motor drive chool of Electricl Engineering & Telecommunictions, UNW olution of Tutoril Converter driven DC motor drive Question 1. T V s D V I L E V 50 V,.5, I 0 A rted rted f 400 Hz, 0 rev/ min s rted (i) 0 6.8 rd

More information

Traffic Behavior and Jams Induced by Slow-down Sections

Traffic Behavior and Jams Induced by Slow-down Sections 55 * * * Trff Behvor nd Jms Indued y Slow-down Setons Shuh MASUKURA, Fulty of Engneerng, Shzuok Unversty Hrotosh HANAURA, Fulty of Engneerng, Shzuok Unversty Tksh NAGATANI, Fulty of Engneerng, Shzuok Unversty

More information

AC/DC/AC Converters: Two-Level and Multilevel VSI

AC/DC/AC Converters: Two-Level and Multilevel VSI Sortes Ersmus Visit A/D/A onerters: Two-Leel nd Multileel VSI Josep Pou Antoni Aris Pge 1 Sortes Ersmus Visit Outline 1. Two-Leel Inerter 2. Multileel Inerters - sde H-Bridge Inerter - Flying-pitor Inerter

More information

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter 0.04 Newton-Rphson Method o Solvng Nonlner Equton Ater redng ths chpter, you should be ble to:. derve the Newton-Rphson method ormul,. develop the lgorthm o the Newton-Rphson method,. use the Newton-Rphson

More information

ESCI 342 Atmospheric Dynamics I Lesson 1 Vectors and Vector Calculus

ESCI 342 Atmospheric Dynamics I Lesson 1 Vectors and Vector Calculus ESI 34 tmospherc Dnmcs I Lesson 1 Vectors nd Vector lculus Reference: Schum s Outlne Seres: Mthemtcl Hndbook of Formuls nd Tbles Suggested Redng: Mrtn Secton 1 OORDINTE SYSTEMS n orthonorml coordnte sstem

More information

Electromagnetism Notes, NYU Spring 2018

Electromagnetism Notes, NYU Spring 2018 Eletromgnetism Notes, NYU Spring 208 April 2, 208 Ation formultion of EM. Free field desription Let us first onsider the free EM field, i.e. in the bsene of ny hrges or urrents. To tret this s mehnil system

More information

CS 573 Automata Theory and Formal Languages

CS 573 Automata Theory and Formal Languages Non-determinism Automt Theory nd Forml Lnguges Professor Leslie Lnder Leture # 3 Septemer 6, 2 To hieve our gol, we need the onept of Non-deterministi Finite Automton with -moves (NFA) An NFA is tuple

More information

An Adaptive Control Algorithm for Multiple-Input Multiple-Output Systems Using Neural Networks

An Adaptive Control Algorithm for Multiple-Input Multiple-Output Systems Using Neural Networks An Adptve Control Algorthm for Multple-Input Multple-Output Systems Usng Neurl Networks JOSE NORIEGA Deprtmento de Investgón en Fís Unversdd de Sonor Rosles y Blvd. Lus Enns, Col. Centro, CP, Hllo, Son.

More information

Jens Siebel (University of Applied Sciences Kaiserslautern) An Interactive Introduction to Complex Numbers

Jens Siebel (University of Applied Sciences Kaiserslautern) An Interactive Introduction to Complex Numbers Jens Sebel (Unversty of Appled Scences Kserslutern) An Interctve Introducton to Complex Numbers 1. Introducton We know tht some polynoml equtons do not hve ny solutons on R/. Exmple 1.1: Solve x + 1= for

More information

Name: SID: Discussion Session:

Name: SID: Discussion Session: Nme: SID: Dscusson Sesson: hemcl Engneerng hermodynmcs -- Fll 008 uesdy, Octoer, 008 Merm I - 70 mnutes 00 onts otl losed Book nd Notes (5 ponts). onsder n del gs wth constnt het cpctes. Indcte whether

More information

REGULARIZATION IN QUANTUM GAUGE THEORY OF GRAVITATION WITH DE SITTER INNER SYMMETRY

REGULARIZATION IN QUANTUM GAUGE THEORY OF GRAVITATION WITH DE SITTER INNER SYMMETRY THEORETICAL PHYSICS REGULARIZATION IN QUANTUM GAUGE THEORY OF GRAVITATION WITH DE SITTER INNER SYMMETRY V. CHIRIÞOIU 1, G. ZET 1 Poltehn Unversty Tmºor, Tehnl Physs Deprtment, Romn E-ml: vorel.hrtou@et.upt.ro

More information

Charged Particle in a Magnetic Field

Charged Particle in a Magnetic Field Charged Partle n a Magnet Feld Mhael Fowler 1/16/08 Introduton Classall, the fore on a harged partle n eletr and magnet felds s gven b the Lorentz fore law: v B F = q E+ Ths velot-dependent fore s qute

More information

New Algorithms: Linear, Nonlinear, and Integer Programming

New Algorithms: Linear, Nonlinear, and Integer Programming New Algorthms: ner, Nonlner, nd Integer Progrmmng Dhnnjy P. ehendle Sr Prshurmhu College, Tl Rod, Pune-400, Ind dhnnjy.p.mehendle@gml.om Astrt In ths pper we propose new lgorthm for lner progrmmng. Ths

More information

ECEN 5807 Lecture 26

ECEN 5807 Lecture 26 ECEN 5807 eture 6 HW 8 due v D Frdy, rh, 0 S eture 8 on Wed rh 0 wll be leture reorded n 0 he week of rh 5-9 Sprng brek, no le ody: Conlude pled-dt odelng of hghfrequeny ndutor dyn n pek urrentode ontrolled

More information

Bivariate drought analysis using entropy theory

Bivariate drought analysis using entropy theory Bvrte rought nlyss usng entropy theory Zengho Ho Deprtment of Bologl & Agrulturl Engneerng exs A & M Unversty, 3E Sotes Hll, 7 AMU, College Stton, exs 77843-7 Eml: hz7@tmu.eu Vjy P. Sngh Deprtment of Bologl

More information

Symmetrical Components 1

Symmetrical Components 1 Symmetril Components. Introdution These notes should e red together with Setion. of your text. When performing stedy-stte nlysis of high voltge trnsmission systems, we mke use of the per-phse equivlent

More information

Object Oriented Backward/Forward Algorithm for Unbalanced and Harmonic Polluted Distribution Systems

Object Oriented Backward/Forward Algorithm for Unbalanced and Harmonic Polluted Distribution Systems Oet Orented Bkwrd/Forwrd Algorthm for Unlned nd Hrmon Polluted Dstruton ystems Bogdn omogă, Mre Chndrş Power ystems Deprtment ehnl Unversty of Clu-po Clu-po, omân ogdn.tomog@eps.utlu.ro mre.hndrs@eps.utlu.ro

More information

Controller Design for Networked Control Systems in Multiple-packet Transmission with Random Delays

Controller Design for Networked Control Systems in Multiple-packet Transmission with Random Delays Appled Mehans and Materals Onlne: 03-0- ISSN: 66-748, Vols. 78-80, pp 60-604 do:0.408/www.sentf.net/amm.78-80.60 03 rans eh Publatons, Swtzerland H Controller Desgn for Networed Control Systems n Multple-paet

More information

Designing Information Devices and Systems I Anant Sahai, Ali Niknejad. This homework is due October 19, 2015, at Noon.

Designing Information Devices and Systems I Anant Sahai, Ali Niknejad. This homework is due October 19, 2015, at Noon. EECS 16A Designing Informtion Devices nd Systems I Fll 2015 Annt Shi, Ali Niknejd Homework 7 This homework is due Octoer 19, 2015, t Noon. 1. Circuits with cpcitors nd resistors () Find the voltges cross

More information

Finite State Automata and Determinisation

Finite State Automata and Determinisation Finite Stte Automt nd Deterministion Tim Dworn Jnury, 2016 Lnguges fs nf re df Deterministion 2 Outline 1 Lnguges 2 Finite Stte Automt (fs) 3 Non-deterministi Finite Stte Automt (nf) 4 Regulr Expressions

More information

WELCOME TO THE LECTURE

WELCOME TO THE LECTURE WELCOME TO THE LECTURE ON DC MOTOR Force on conductor If conductor is plced in mgnetic field nd current is llowed to flow through the conductor, the conductor will experience mechnicl force. N S Electric

More information

Flexible Beam. Objectives

Flexible Beam. Objectives Flexile Bem Ojectives The ojective of this l is to lern out the chllenges posed y resonnces in feedck systems. An intuitive understnding will e gined through the mnul control of flexile em resemling lrge

More information

Reducing the Computational Effort of Stochastic Multi-Period DC Optimal Power Flow with Storage

Reducing the Computational Effort of Stochastic Multi-Period DC Optimal Power Flow with Storage Redung the Computtonl Effort of Stohst Mult-Perod DC Optml Power Flow wth Storge Olver Mégel Görn Andersson Power Systems Lbortory ETH Zürh Zürh, Swtzerlnd {megel, ndersson}@eeh.ee.ethz.h Johnn L. Mtheu

More information

Calculus Cheat Sheet. Integrals Definitions. where F( x ) is an anti-derivative of f ( x ). Fundamental Theorem of Calculus. dx = f x dx g x dx

Calculus Cheat Sheet. Integrals Definitions. where F( x ) is an anti-derivative of f ( x ). Fundamental Theorem of Calculus. dx = f x dx g x dx Clulus Chet Sheet Integrls Definitions Definite Integrl: Suppose f ( ) is ontinuous Anti-Derivtive : An nti-derivtive of f ( ) on [, ]. Divide [, ] into n suintervls of is funtion, F( ), suh tht F = f.

More information

INTRODUCTION TO COMPLEX NUMBERS

INTRODUCTION TO COMPLEX NUMBERS INTRODUCTION TO COMPLEX NUMBERS The numers -4, -3, -, -1, 0, 1,, 3, 4 represent the negtve nd postve rel numers termed ntegers. As one frst lerns n mddle school they cn e thought of s unt dstnce spced

More information

Generalization of 2-Corner Frequency Source Models Used in SMSIM

Generalization of 2-Corner Frequency Source Models Used in SMSIM Generliztion o 2-Corner Frequeny Soure Models Used in SMSIM Dvid M. Boore 26 Mrh 213, orreted Figure 1 nd 2 legends on 5 April 213, dditionl smll orretions on 29 My 213 Mny o the soure spetr models ville

More information

Mass Transfer as you have learned it. Diffusion with Drift. Classic - in Gases 1. Three Gases (1) Appendix. Mass transfer in

Mass Transfer as you have learned it. Diffusion with Drift. Classic - in Gases 1. Three Gases (1) Appendix. Mass transfer in to ourse mterl for ÅA TF ourse 44 / 8 Mss trnsfer nd seprton tehnology Mssöverf verförng rng oh seprtonsten ( MÖF-ST ) See lso Krshn & Wesselngh Chem. Eng. S. 5(6) 997 86-9 Appendx. Mss trnsfer n mult-omponent

More information

ψ ij has the eigenvalue

ψ ij has the eigenvalue Moller Plesset Perturbton Theory In Moller-Plesset (MP) perturbton theory one tes the unperturbed Hmltonn for n tom or molecule s the sum of the one prtcle Foc opertors H F() where the egenfunctons of

More information

CS311 Computational Structures Regular Languages and Regular Grammars. Lecture 6

CS311 Computational Structures Regular Languages and Regular Grammars. Lecture 6 CS311 Computtionl Strutures Regulr Lnguges nd Regulr Grmmrs Leture 6 1 Wht we know so fr: RLs re losed under produt, union nd * Every RL n e written s RE, nd every RE represents RL Every RL n e reognized

More information

Module B3 3.1 Sinusoidal steady-state analysis (single-phase), a review 3.2 Three-phase analysis. Kirtley

Module B3 3.1 Sinusoidal steady-state analysis (single-phase), a review 3.2 Three-phase analysis. Kirtley Module B.1 Siusoidl stedy-stte lysis (sigle-phse), review.2 Three-phse lysis Kirtley Chpter 2: AC Voltge, Curret d Power 2.1 Soures d Power 2.2 Resistors, Idutors, d Cpitors Chpter 4: Polyphse systems

More information

Generalized Lorentz Transformation Allowing the Relative Velocity of Inertial Reference Systems Greater Than the Light Velocity

Generalized Lorentz Transformation Allowing the Relative Velocity of Inertial Reference Systems Greater Than the Light Velocity Generlzed Lorentz Trnsformton Allowng the Relte Veloty of Inertl Referene Systems Greter Thn the Lght Veloty Yu-Kun Zheng Memer of the Chnese Soety of Grtton nd Reltst Astrophyss Eml:yzheng@puorgn Astrt:

More information

MA123, Chapter 10: Formulas for integrals: integrals, antiderivatives, and the Fundamental Theorem of Calculus (pp.

MA123, Chapter 10: Formulas for integrals: integrals, antiderivatives, and the Fundamental Theorem of Calculus (pp. MA123, Chpter 1: Formuls for integrls: integrls, ntiderivtives, nd the Fundmentl Theorem of Clculus (pp. 27-233, Gootmn) Chpter Gols: Assignments: Understnd the sttement of the Fundmentl Theorem of Clculus.

More information

Torque Control of Switched Reluctance Motors

Torque Control of Switched Reluctance Motors 7-P594 1 Torque Control of withe elutne Motors C. Moron 1, A. Gr 1, E. Tremps 1 n J. A. omolinos 2 1 E.U. Arquitetur Tén (U.P.M. ensors n Atutors Group, Mri, pin 2 ET Ingenieros Nvles (U.P.M. Mri, pin

More information

5. (±±) Λ = fw j w is string of even lengthg [ 00 = f11,00g 7. (11 [ 00)± Λ = fw j w egins with either 11 or 00g 8. (0 [ ffl)1 Λ = 01 Λ [ 1 Λ 9.

5. (±±) Λ = fw j w is string of even lengthg [ 00 = f11,00g 7. (11 [ 00)± Λ = fw j w egins with either 11 or 00g 8. (0 [ ffl)1 Λ = 01 Λ [ 1 Λ 9. Regulr Expressions, Pumping Lemm, Right Liner Grmmrs Ling 106 Mrch 25, 2002 1 Regulr Expressions A regulr expression descries or genertes lnguge: it is kind of shorthnd for listing the memers of lnguge.

More information

3D Numerical Analysis for Impedance Calculation and High Performance Consideration of Linear Induction Motor for Rail-guided Transportation

3D Numerical Analysis for Impedance Calculation and High Performance Consideration of Linear Induction Motor for Rail-guided Transportation ADVANCED ELECTROMAGNETICS SYMPOSIUM, AES 13, 19 MARCH 13, SHARJAH UNITED ARAB EMIRATES 3D Numeral Analss for Impedane Calulaton and Hgh Performane Consderaton of Lnear Induton Motor for Ral-guded Transportaton

More information

4. Eccentric axial loading, cross-section core

4. Eccentric axial loading, cross-section core . Eccentrc xl lodng, cross-secton core Introducton We re strtng to consder more generl cse when the xl force nd bxl bendng ct smultneousl n the cross-secton of the br. B vrtue of Snt-Vennt s prncple we

More information

Numbers and indices. 1.1 Fractions. GCSE C Example 1. Handy hint. Key point

Numbers and indices. 1.1 Fractions. GCSE C Example 1. Handy hint. Key point GCSE C Emple 7 Work out 9 Give your nswer in its simplest form Numers n inies Reiprote mens invert or turn upsie own The reiprol of is 9 9 Mke sure you only invert the frtion you re iviing y 7 You multiply

More information

GM1 Consolidation Worksheet

GM1 Consolidation Worksheet Cmridge Essentils Mthemtis Core 8 GM1 Consolidtion Worksheet GM1 Consolidtion Worksheet 1 Clulte the size of eh ngle mrked y letter. Give resons for your nswers. or exmple, ngles on stright line dd up

More information

2.1 ANGLES AND THEIR MEASURE. y I

2.1 ANGLES AND THEIR MEASURE. y I .1 ANGLES AND THEIR MEASURE Given two interseting lines or line segments, the mount of rottion out the point of intersetion (the vertex) required to ring one into orrespondene with the other is lled the

More information