Understanding small, permanent magnet brushed DC motors.
|
|
- Carmella Watkins
- 5 years ago
- Views:
Transcription
1 Undernding ll, pernen gne ruhed DC oor. Gideon Gouw Mrch 2008 L Upded 21 April 2015
2 Vrile B = Fixed gneic field (Tel) i () = rure curren, funcion of ie (A) i ( ) = edy e rure curren (A) J L = Ineri of he lod D L = Vicou dping coefficien of he lod J = Ineri of he rure nd roor J L = Ineri of he lod. J M = Tol ineri preened o he oor D = Vicou dping coefficien of he rure nd roor D L = Vicou dping coefficien of he lod. D M = Vicou dping coefficien of he rure plu lod. = ck ef conn = Moor conn = orque conn (N./A) l = lengh of he conducor () L = rure inducnce (Henrie) N 1 = Ger on oor ide N 2 = Ger on lod ide P E = Elecricl power (W) P M = Mechnicl power (W) = Arure reince (oh) = Speed regulion conn = Serie reince (oh) T() = Torque (newon.eer) T ll = Sll orque of oor (newon.eer) v () = pplied rure volge (vol) v () = induced ck ef (vol) θ () = ngulr diplceen of he oor (rdin) ω () = ngulr velociy of oor (rdin/econd) ω 0 = no-lod peed of oor (rdin/econd) Areviion ef: elecro oive force LT: Lplce rnfor TF: Trnfer funcion 2
3 1. Wh doe he ile en? In he who who in he elecric oor zoo, he group of oor h cn e clified ll, pernen gne ruhed DC oor i ju one of ny grouping. The docuen ile hu iplie h we re looking only hi one group, which i: Sll - of liied power oupu, ypiclly lo ll in ize. Pernen gne The gneic field i pernen, ypiclly fored y pernen gne. Bruhed he couor rrngeen ue ruhe for elecricl conc nd reverl of he rure curren. DC - ue direc curren for operion. Undernding - lef o he reder... Thi ype of oor i generlly inexpenive, ey o ue nd i ypiclly ued in echronic pplicion. 2. Principle of Operion nd Conrucion. A DC oor i good exple of n elecroechnicl device, coniing of oh n elecricl nd echnicl uye. I funcion idirecionl rnducer, convering elecricl energy ino echnicl energy (oor pplicion), or cn lo conver echnicl energy ino elecricl (generor pplicion). Moor exploi he phenoenon decried y Mxwell equion; curren flowing wihin conducor will elih gneic field round i. If hi curren-crrying conducor i now plced in pernen gneic field, he inercion eween he wo gneic field will produce force on he conducor. In he oor, he producion of hi force i ued o cree orque h urn he roor. The conrucion of hi ype of oor cn e divided ino he following pr: The or, or ionry pr h coni of he pernen gne ched o he oor houing. The roor (hf) h lo crrie he rure or coil winding. 3
4 The couor nd ruhe h provide elecricl conc o coil while he oor i roing nd provide ehod of wiching he direcion of curren in he rure. Bering h he hf run on. 3. Derivion of he rnfer funcion. The curren i () flowing in he rure will produce n inercion wih he gneic field, o h he rure will experience force f(), f() = B.l.i () Thi force will cue he rure o ove (roe), which will led o ck ef eing induced due o he gneic field: d() v() () (1) d The volge-curren relionhip in he rure i hen given y: di() v() i () L v() (2) d Thi cn e wrien in LT for: V = I + L I + V (3) The orque he oor develop will e proporionl o he rure curren, o h: or T = I (4) T I (5) where i he orque conn. Suiue (2) nd (5) ino (4): T L V (6) 4
5 or wriing he e equion in er he ngulr velociy ω(): T L V (6) Conider he echnicl uye of he oor, where he orque produced y he rure curren now urn he roor-rure coinion. Thi coinion h n ineri J nd liner dping (vicou) D. Oher poile dping effec re negleced. T () J 2 d () D 2 d d() d or in LT for: T=J 2 θ + D θ = (J 2 + D ) θ (7) Siilrly, in er of he ngulr velociy Ω: T=J Ω + D Ω = (J + D ) Ω (7) Suiuing (7) ino (6) o produce: 2 J D L V (8) The rnfer funcion cn hen e derived in er of ngulr diplceen or ngulr velociy : or θ ( ) V ( ) = /(J L ) +( J 3 +D L J L ) +( 2 D + J L ) (9) 5
6 Ω V ( ) = /(J L ) +( J 2 +D L J L ) + ( D + J L ) (9) If i i ued h he rure inducnce J i very ll copred o he rure reince, i cn e hown (fro eqn (8)) h he rnfer funcion reduce o: or θ ( ) V ( ) = /(J ) [ + 1 J ( D + )] Ω V ( ) = /(J ) [ 1 + J ( D + )] (10) (10) 4. elionhip eween nd. The ck ef conn of oor,, (lo clled he peed conn or he volge conn) w defined : v wih uni V..rd -1. Siilrly, he orque conn of he oor h een defined reling he oor orque o he rure curren, wih: T () nd uni N.A -1. i () The vlue of oh hee conn re deerined y he geoericl nd phyicl properie of he oor, wih fcor uch he phyicl dienion, nuer of urn on he coil winding nd he gneic flux deniy ll conriuing. The relionhip eween hee conn cn e e een y conidering he oor in generor pplicion. Alo neglec non-idel 6
7 echnicl nd elecricl loe ocied wih he oor/generor operion. If hi pproxiion i de, he echnicl power on he inpu of he generor hould equl he elecricl power he generor oupu. The echnicl power i given y: P = (Torque x ngulr diplceen)/ie = T ω. The elecricl power genered i defined : P e = oupu volge x oupu curren = v i. So h: T v i nd T i v Thi iplie h = when oh re eured in conien uni. Thi i rue ecue he e fcor (geoericl nd phyicl) h govern he vlue of one conn lo deerine he vlue of he oher. Thee conn decrie he fundenl coupling eween echnicl nd elecricl power nd hould e no differen for he direcion of energy converion. We cn hen iply define new conn,, he oor conn : = = nd he rnfer funcion previou derived cn e odified o reflec hi definiion. 7
8 5. The orque-peed curve. The echnicl conn of he oor cn e oined fro dynoeer e euring he roionl peed nd orque of he oor conn pplied volge while chnging he lod. Suiuing (2) nd (5) ino (4) yield: T T L V Wih he pproxiion L 0, hi will reduce o: T Ω V If we rnfor o he ie-doin nd rerrnge nd conidering edy e condiion: T v (12) Thi will e in he for of righ line y = x + c when we plo T v ω. In prcie, we will produce fily of line reling T o ω for differen vlue of he pplied volge. Two poin re of ignificnce on hi grph: (1) The ll orque (T ll ) preen he poin where he lod ecoe o gre h he oor ll (ω = 0). Thi preen he xiu orque h he oor cn deliver well he xiu curren h he oor drw. (2) The no-lod peed of he oor i he peed wih no pplied lod (xiu peed poile for hi pplied volge). The only orque i h needed o urn he rure nd roor nd he curren drwn i iniu (xiu ck ef). I cn e ued h he orque of he oor hi poin i ~ 0. The y-inercep of he grph fro (12) occur when he oor ll, o h: 8
9 T ll v If we cn hen eure he ll orque, we cn clcule. The lope of hi line will e: T, The invere of he lope i oeie clled he peed regulion conn, defined : B The ll orque cn hen lo e wrien : T ll no lod (check ou) The iniu orque poin (T ~ 0) on he x-xi will occur : no lod v A iniu, only he wo condiion of T ll nd ω no-lod need o e eured o genere hi line. In prcice, i i iporn o keep in ind h ll occur whenever he oor i eping o ove gin force h i igger hn he orque i cn genere. However, ll condiion exi every ie he oor r fro reing poiion or ny ie he oor revere direcion. Thi u e ken ino ccoun when deigning oor driver circui. 6. Block digr repreenion of he DC oor. The oor cn e repreened in lock digr for hown elow: 9
10 If he rnfer funcion of ech individul lock i deerined w decried in ecion 2, i will produce: Boh he elecricl nd echnicl uye re hu fir order nd cn e preened in er of heir ie conn where J D nd e L If we iplify nd ue h τ e << τ, he rnfer funcion cn e reduced o: Ω V 1 1 0
11 where i he iplified gin D nd τ i he iplified ie conn J D 7. Trnfer funcion eiion y explici eureen. In order o oin he oor rnfer funcion, we u e le o eure he following preer: = Arure reince L = Arure inducnce = Torque conn = Bck ef conn J = Ineri of he oor D = Dping of he oor. 7.1 Meuring. The rure reince cn iply e eured y euring he reince cro he oor erinl. However, eure for everl poiion of roion nd verge in order o ke ino ccoun he effec vrying conc of he ruhe on he couor. The reince cn lo e oined y clping he oor (prevening roion) nd euring he edy e curren o pecific pplied volge. Thi enure h no ck ef i induced. Agin, eure everl poiion of roion. Typicl vlue of hould e in he Ω rnge. 7.2 Meuring L. The inducnce of he rure cn e eured fro eure of he ie conn of he L circui h for he elecricl uye. Thi gin enil clping he oor nd hen ujecing i o ep in he inpu volge. An exernl reior,, hould e conneced in erie wih he rure o h he volge drop cro cn e eured in order o clcule he curren. 11
12 The ie conn of hi ep repone i hen given y: e L nd he vlue of L cn e clculed if i known. Typicl vlue for L hould e in he 10-3 H rnge. 7.3 Meureen of (nd ). The curren-volge relionhip in he rure edy e condiion i given y: v ( ) i ( ) ( ) If he curren nd he roionl peed cn hen e eured, cn e clculed : v i The ngulr velociy cn e eured wih choeer or y n opicl enor. A hould equl, we cn ue hi ge h we hve = =. 7.4 Meuring D. Fro he curren orque relionhip T = i () nd he equion for he echnicl uye T d() J D d () we cn wrie n expreion for he edy e condiion (dω/d = 0) : 1 2
13 i = D ω By euring he edy e roionl velociy nd he curren nd fro knowledge of we cn hen clcule he dping coefficien of he oor. 7.5 Meuring J. The oor ineri cn e oined fro eure of he echnicl ie conn of he ye. Thi cn e done y wiching off he oor y producing n open circui in he elecricl inpu. Fro he decy in ngulr velociy wih ie, he echnicl ie conn cn e eured. Thi i given y: J D nd J cn e clculed if D i known. 7.6 Soe furher poin. In ecion 6 he iplified (ignoring inducnce) gin of he oor w hown o e: D v If we hen e he oor repone o n inpu volge ep nd eure he edy e roionl velociy, we cn clcule hi fcor. Noe h he vlue of i independen of he ineri of he oor nd i only deerined y he dping of he oor (nd he oor conn well he rure reince). If we know he oher fcor, we cn hen clcule D fro he edy e repone. I cn e hown h hi equion for he dping reduce o he e h ued in Secion 7.4 D J ***** 1 3
Control Systems. Modelling Physical Systems. Assoc.Prof. Haluk Görgün. Gears DC Motors. Lecture #5. Control Systems. 10 March 2013
Lcur #5 Conrol Sy Modlling Phyicl Sy Gr DC Moor Aoc.Prof. Hluk Görgün 0 Mrch 03 Conrol Sy Aoc. Prof. Hluk Görgün rnfr Funcion for Sy wih Gr Gr provid chnicl dvng o roionl y. Anyon who h riddn 0-pd bicycl
More informationIX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704
Chper IX The Inegrl Trnform Mehod IX. The plce Trnform November 4, 7 699 IX. THE APACE TRANSFORM IX.. The plce Trnform Definiion 7 IX.. Properie 7 IX..3 Emple 7 IX..4 Soluion of IVP for ODE 74 IX..5 Soluion
More informationIX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704
Chper IX The Inegrl Trnform Mehod IX. The plce Trnform November 6, 8 699 IX. THE APACE TRANSFORM IX.. The plce Trnform Definiion 7 IX.. Properie 7 IX..3 Emple 7 IX..4 Soluion of IVP for ODE 74 IX..5 Soluion
More informationcan be viewed as a generalized product, and one for which the product of f and g. That is, does
Boyce/DiPrim 9 h e, Ch 6.6: The Convoluion Inegrl Elemenry Differenil Equion n Bounry Vlue Problem, 9 h eiion, by Willim E. Boyce n Richr C. DiPrim, 9 by John Wiley & Son, Inc. Someime i i poible o wrie
More informationLaplace Examples, Inverse, Rational Form
Lecure 3 Ouline: Lplce Exple, Invere, Rionl For Announceen: Rein: 6: Lplce Trnfor pp. 3-33, 55.5-56.5, 7 HW 8 poe, ue nex We. Free -y exenion OcenOne Roo Tour will e fer cl y 7 (:3-:) Lunch provie ferwr.
More informationLAPLACE TRANSFORMS. 1. Basic transforms
LAPLACE TRANSFORMS. Bic rnform In hi coure, Lplce Trnform will be inroduced nd heir properie exmined; ble of common rnform will be buil up; nd rnform will be ued o olve ome dierenil equion by rnforming
More informationLinear Motion, Speed & Velocity
Add Iporan Linear Moion, Speed & Velociy Page: 136 Linear Moion, Speed & Velociy NGSS Sandard: N/A MA Curriculu Fraework (2006): 1.1, 1.2 AP Phyic 1 Learning Objecive: 3.A.1.1, 3.A.1.3 Knowledge/Underanding
More informationgraph of unit step function t
.5 Piecewie coninuou forcing funcion...e.g. urning he forcing on nd off. The following Lplce rnform meril i ueful in yem where we urn forcing funcion on nd off, nd when we hve righ hnd ide "forcing funcion"
More informationSample Final Exam (finals03) Covering Chapters 1-9 of Fundamentals of Signals & Systems
Sample Final Exam Covering Chaper 9 (final04) Sample Final Exam (final03) Covering Chaper 9 of Fundamenal of Signal & Syem Problem (0 mar) Conider he caual opamp circui iniially a re depiced below. I LI
More informationProblems on transformer main dimensions and windings
Probles_Trn_winding Probles on rnsforer in diensions nd windings. Deerine he in diensions of he core nd window for 500 ka, /400, 50Hz, Single phse core ype, oil iersed, self cooled rnsforer. Assue: Flux
More informationPhysics 207 Lecture 10
Phyic 07 Lecure 0 MidTer I Phyic 07, Lecure 0, Oc. 9 Ex will be reurned in your nex dicuion ecion Regrde: Wrie down, on epre hee, wh you wn regrded nd why. Men: 64.6 Medin: 67 Sd. De.: 9.0 Rnge: High 00
More informationTo become more mathematically correct, Circuit equations are Algebraic Differential equations. from KVL, KCL from the constitutive relationship
Laplace Tranform (Lin & DeCarlo: Ch 3) ENSC30 Elecric Circui II The Laplace ranform i an inegral ranformaion. I ranform: f ( ) F( ) ime variable complex variable From Euler > Lagrange > Laplace. Hence,
More information1.0 Electrical Systems
. Elecricl Sysems The ypes of dynmicl sysems we will e sudying cn e modeled in erms of lgeric equions, differenil equions, or inegrl equions. We will egin y looking fmilir mhemicl models of idel resisors,
More informationChapter 6. Laplace Transforms
6- Chaper 6. Laplace Tranform 6.4 Shor Impule. Dirac Dela Funcion. Parial Fracion 6.5 Convoluion. Inegral Equaion 6.6 Differeniaion and Inegraion of Tranform 6.7 Syem of ODE 6.4 Shor Impule. Dirac Dela
More informationProblem Set If all directed edges in a network have distinct capacities, then there is a unique maximum flow.
CSE 202: Deign and Analyi of Algorihm Winer 2013 Problem Se 3 Inrucor: Kamalika Chaudhuri Due on: Tue. Feb 26, 2013 Inrucion For your proof, you may ue any lower bound, algorihm or daa rucure from he ex
More informationu(t) Figure 1. Open loop control system
Open loop conrol v cloed loop feedbac conrol The nex wo figure preen he rucure of open loop and feedbac conrol yem Figure how an open loop conrol yem whoe funcion i o caue he oupu y o follow he reference
More informationPhysics 240: Worksheet 16 Name
Phyic 4: Workhee 16 Nae Non-unifor circular oion Each of hee proble involve non-unifor circular oion wih a conan α. (1) Obain each of he equaion of oion for non-unifor circular oion under a conan acceleraion,
More informationEECE 301 Signals & Systems Prof. Mark Fowler
EECE 31 Signal & Syem Prof. Mark Fowler Noe Se #27 C-T Syem: Laplace Tranform Power Tool for yem analyi Reading Aignmen: Secion 6.1 6.3 of Kamen and Heck 1/18 Coure Flow Diagram The arrow here how concepual
More informatione t dt e t dt = lim e t dt T (1 e T ) = 1
Improper Inegrls There re wo ypes of improper inegrls - hose wih infinie limis of inegrion, nd hose wih inegrnds h pproch some poin wihin he limis of inegrion. Firs we will consider inegrls wih infinie
More informationTransformations. Ordered set of numbers: (1,2,3,4) Example: (x,y,z) coordinates of pt in space. Vectors
Trnformion Ordered e of number:,,,4 Emple:,,z coordine of p in pce. Vecor If, n i i, K, n, i uni ecor Vecor ddiion +w, +, +, + V+w w Sclr roduc,, Inner do roduc α w. w +,.,. The inner produc i SCLR!. w,.,
More informationDC Miniature Solenoids KLM Varioline
DC Miniure Solenoi KLM Vrioline DC Miniure Solenoi Type KLM Deign: Single roke olenoi pulling n puhing, oule roke n invere roke ype. Snr: Zinc ple (opionl: pine / nickel ple) Fixing: Cenrl or flnge mouning.
More informationwhen t = 2 s. Sketch the path for the first 2 seconds of motion and show the velocity and acceleration vectors for t = 2 s.(2/63)
. The -coordine of pricle in curiliner oion i gien b where i in eer nd i in econd. The -coponen of ccelerion in eer per econd ured i gien b =. If he pricle h -coponen = nd when = find he gniude of he eloci
More informationMotion. Part 2: Constant Acceleration. Acceleration. October Lab Physics. Ms. Levine 1. Acceleration. Acceleration. Units for Acceleration.
Moion Accelerion Pr : Consn Accelerion Accelerion Accelerion Accelerion is he re of chnge of velociy. = v - vo = Δv Δ ccelerion = = v - vo chnge of velociy elpsed ime Accelerion is vecor, lhough in one-dimensionl
More informationP441 Analytical Mechanics - I. Coupled Oscillators. c Alex R. Dzierba
Lecure 3 Mondy - Deceber 5, 005 Wrien or ls upded: Deceber 3, 005 P44 Anlyicl Mechnics - I oupled Oscillors c Alex R. Dzierb oupled oscillors - rix echnique In Figure we show n exple of wo coupled oscillors,
More informationRandomized Perfect Bipartite Matching
Inenive Algorihm Lecure 24 Randomized Perfec Biparie Maching Lecurer: Daniel A. Spielman April 9, 208 24. Inroducion We explain a randomized algorihm by Ahih Goel, Michael Kapralov and Sanjeev Khanna for
More informationGEOMETRIC EFFECTS CONTRIBUTING TO ANTICIPATION OF THE BEVEL EDGE IN SPREADING RESISTANCE PROFILING
GEOMETRIC EFFECTS CONTRIBUTING TO ANTICIPATION OF THE BEVEL EDGE IN SPREADING RESISTANCE PROFILING D H Dickey nd R M Brennn Solecon Lbororie, Inc Reno, Nevd 89521 When preding reince probing re mde prior
More informationHow to Solve System Dynamic s Problems
How o Solve Sye Dynaic Proble A ye dynaic proble involve wo or ore bodie (objec) under he influence of everal exernal force. The objec ay uliaely re, ove wih conan velociy, conan acceleraion or oe cobinaion
More informationSeptember 20 Homework Solutions
College of Engineering nd Compuer Science Mechnicl Engineering Deprmen Mechnicl Engineering A Seminr in Engineering Anlysis Fll 7 Number 66 Insrucor: Lrry Creo Sepember Homework Soluions Find he specrum
More informationMagnetostatics Bar Magnet. Magnetostatics Oersted s Experiment
Mgneosics Br Mgne As fr bck s 4500 yers go, he Chinese discovered h cerin ypes of iron ore could rc ech oher nd cerin mels. Iron filings "mp" of br mgne s field Crefully suspended slivers of his mel were
More information5.1-The Initial-Value Problems For Ordinary Differential Equations
5.-The Iniil-Vlue Problems For Ordinry Differenil Equions Consider solving iniil-vlue problems for ordinry differenil equions: (*) y f, y, b, y. If we know he generl soluion y of he ordinry differenil
More informationSection P.1 Notes Page 1 Section P.1 Precalculus and Trigonometry Review
Secion P Noe Pge Secion P Preclculu nd Trigonomer Review ALGEBRA AND PRECALCULUS Eponen Lw: Emple: 8 Emple: Emple: Emple: b b Emple: 9 EXAMPLE: Simplif: nd wrie wi poiive eponen Fir I will flip e frcion
More information0 for t < 0 1 for t > 0
8.0 Sep nd del funcions Auhor: Jeremy Orloff The uni Sep Funcion We define he uni sep funcion by u() = 0 for < 0 for > 0 I is clled he uni sep funcion becuse i kes uni sep = 0. I is someimes clled he Heviside
More informationViscous Damping Summary Sheet No Damping Case: Damped behaviour depends on the relative size of ω o and b/2m 3 Cases: 1.
Viscous Daping: && + & + ω Viscous Daping Suary Shee No Daping Case: & + ω solve A ( ω + α ) Daped ehaviour depends on he relaive size of ω o and / 3 Cases:. Criical Daping Wee 5 Lecure solve sae BC s
More informationCHAPTER 7: SECOND-ORDER CIRCUITS
EEE5: CI RCUI T THEORY CHAPTER 7: SECOND-ORDER CIRCUITS 7. Inroducion Thi chaper conider circui wih wo orage elemen. Known a econd-order circui becaue heir repone are decribed by differenial equaion ha
More informationWhen current flows through the armature, the magnetic fields create a torque. Torque = T =. K T i a
D Motor Bic he D pernent-gnet otor i odeled reitor ( ) in erie with n inductnce ( ) nd voltge ource tht depend on the ngulr velocity of the otor oltge generted inide the rture K ω (ω i ngulr velocity)
More informationRectilinear Kinematics
Recilinear Kinemaic Coninuou Moion Sir Iaac Newon Leonard Euler Oeriew Kinemaic Coninuou Moion Erraic Moion Michael Schumacher. 7-ime Formula 1 World Champion Kinemaic The objecie of kinemaic i o characerize
More informationA Kalman filtering simulation
A Klmn filering simulion The performnce of Klmn filering hs been esed on he bsis of wo differen dynmicl models, ssuming eiher moion wih consn elociy or wih consn ccelerion. The former is epeced o beer
More informationProperties of Logarithms. Solving Exponential and Logarithmic Equations. Properties of Logarithms. Properties of Logarithms. ( x)
Properies of Logrihms Solving Eponenil nd Logrihmic Equions Properies of Logrihms Produc Rule ( ) log mn = log m + log n ( ) log = log + log Properies of Logrihms Quoien Rule log m = logm logn n log7 =
More information5.2 GRAPHICAL VELOCITY ANALYSIS Polygon Method
ME 352 GRHICL VELCITY NLYSIS 52 GRHICL VELCITY NLYSIS olygon Mehod Velociy analyi form he hear of kinemaic and dynamic of mechanical yem Velociy analyi i uually performed following a poiion analyi; ie,
More information2/5/2012 9:01 AM. Chapter 11. Kinematics of Particles. Dr. Mohammad Abuhaiba, P.E.
/5/1 9:1 AM Chper 11 Kinemic of Pricle 1 /5/1 9:1 AM Inroducion Mechnic Mechnic i Th cience which decribe nd predic he condiion of re or moion of bodie under he cion of force I i diided ino hree pr 1.
More informationPhysics for Scientists & Engineers 2
Direc Curren Physics for Scieniss & Engineers 2 Spring Semeser 2005 Lecure 16 This week we will sudy charges in moion Elecric charge moving from one region o anoher is called elecric curren Curren is all
More informationSIDDHARTH GROUP OF INSTITUTIONS :: PUTTUR Siddharth Nagar, Narayanavanam Road QUESTION BANK (DESCRIPTIVE)
QUESTION BANK 6 SIDDHARTH GROUP OF INSTITUTIONS :: PUTTUR Siddhrh Ngr, Nrynvnm Rod 5758 QUESTION BANK (DESCRIPTIVE) Subjec wih Code :Engineering Mhemic-I (6HS6) Coure & Brnch: B.Tech Com o ll Yer & Sem:
More informationLet. x y. denote a bivariate time series with zero mean.
Linear Filer Le x y : T denoe a bivariae ime erie wih zero mean. Suppoe ha he ime erie {y : T} i conruced a follow: y a x The ime erie {y : T} i aid o be conruced from {x : T} by mean of a Linear Filer.
More informationAlgorithmic Discrete Mathematics 6. Exercise Sheet
Algorihmic Dicree Mahemaic. Exercie Shee Deparmen of Mahemaic SS 0 PD Dr. Ulf Lorenz 7. and 8. Juni 0 Dipl.-Mah. David Meffer Verion of June, 0 Groupwork Exercie G (Heap-Sor) Ue Heap-Sor wih a min-heap
More informationBipartite Matching. Matching. Bipartite Matching. Maxflow Formulation
Mching Inpu: undireced grph G = (V, E). Biprie Mching Inpu: undireced, biprie grph G = (, E).. Mching Ern Myr, Hrld äcke Biprie Mching Inpu: undireced, biprie grph G = (, E). Mflow Formulion Inpu: undireced,
More informationFlow Networks Alon Efrat Slides courtesy of Charles Leiserson with small changes by Carola Wenk. Flow networks. Flow networks CS 445
CS 445 Flow Nework lon Efr Slide corey of Chrle Leieron wih mll chnge by Crol Wenk Flow nework Definiion. flow nework i direced grph G = (V, E) wih wo diingihed erice: orce nd ink. Ech edge (, ) E h nonnegie
More informationThe solution is often represented as a vector: 2xI + 4X2 + 2X3 + 4X4 + 2X5 = 4 2xI + 4X2 + 3X3 + 3X4 + 3X5 = 4. 3xI + 6X2 + 6X3 + 3X4 + 6X5 = 6.
[~ o o :- o o ill] i 1. Mrices, Vecors, nd Guss-Jordn Eliminion 1 x y = = - z= The soluion is ofen represened s vecor: n his exmple, he process of eliminion works very smoohly. We cn elimine ll enries
More informationSph3u Practice Unit Test: Kinematics (Solutions) LoRusso
Sph3u Prcice Uni Te: Kinemic (Soluion) LoRuo Nme: Tuey, Ocober 3, 07 Ku: /45 pp: /0 T&I: / Com: Thi i copy of uni e from 008. Thi will be imilr o he uni e you will be wriing nex Mony. you cn ee here re
More informationSwitching Characteristics of Power Devices
Swiching Characeriic of Power Device Device uilizaion can be grealy improved by underanding he device wiching charcaeriic. he main performance wiching characeriic of power device: he ave operaing area
More informationENGR 1990 Engineering Mathematics The Integral of a Function as a Function
ENGR 1990 Engineering Mhemics The Inegrl of Funcion s Funcion Previously, we lerned how o esime he inegrl of funcion f( ) over some inervl y dding he res of finie se of rpezoids h represen he re under
More informationECE Microwave Engineering
EE 537-635 Microwve Engineering Adped from noes y Prof. Jeffery T. Willims Fll 8 Prof. Dvid R. Jcson Dep. of EE Noes Wveguiding Srucures Pr 7: Trnsverse Equivlen Newor (N) Wveguide Trnsmission Line Model
More informationContraction Mapping Principle Approach to Differential Equations
epl Journl of Science echnology 0 (009) 49-53 Conrcion pping Principle pproch o Differenil Equions Bishnu P. Dhungn Deprmen of hemics, hendr Rn Cmpus ribhuvn Universiy, Khmu epl bsrc Using n eension of
More informationMore on ODEs by Laplace Transforms October 30, 2017
More on OE b Laplace Tranfor Ocober, 7 More on Ordinar ifferenial Equaion wih Laplace Tranfor Larr areo Mechanical Engineering 5 Seinar in Engineering nali Ocober, 7 Ouline Review la cla efiniion of Laplace
More informationPHYSICS 151 Notes for Online Lecture #4
PHYSICS 5 Noe for Online Lecure #4 Acceleraion The ga pedal in a car i alo called an acceleraor becaue preing i allow you o change your elociy. Acceleraion i how fa he elociy change. So if you ar fro re
More informationECE Microwave Engineering. Fall Prof. David R. Jackson Dept. of ECE. Notes 10. Waveguides Part 7: Transverse Equivalent Network (TEN)
EE 537-635 Microwve Engineering Fll 7 Prof. Dvid R. Jcson Dep. of EE Noes Wveguides Pr 7: Trnsverse Equivlen Newor (N) Wveguide Trnsmission Line Model Our gol is o come up wih rnsmission line model for
More informationDiscussion Session 2 Constant Acceleration/Relative Motion Week 03
PHYS 100 Dicuion Seion Conan Acceleraion/Relaive Moion Week 03 The Plan Today you will work wih your group explore he idea of reference frame (i.e. relaive moion) and moion wih conan acceleraion. You ll
More information6.302 Feedback Systems Recitation : Phase-locked Loops Prof. Joel L. Dawson
6.32 Feedback Syem Phae-locked loop are a foundaional building block for analog circui deign, paricularly for communicaion circui. They provide a good example yem for hi cla becaue hey are an excellen
More informationEE Control Systems LECTURE 2
Copyrigh F.L. Lewi 999 All righ reerved EE 434 - Conrol Syem LECTURE REVIEW OF LAPLACE TRANSFORM LAPLACE TRANSFORM The Laplace ranform i very ueful in analyi and deign for yem ha are linear and ime-invarian
More information2. VECTORS. R Vectors are denoted by bold-face characters such as R, V, etc. The magnitude of a vector, such as R, is denoted as R, R, V
ME 352 VETS 2. VETS Vecor algebra form he mahemaical foundaion for kinemaic and dnamic. Geomer of moion i a he hear of boh he kinemaic and dnamic of mechanical em. Vecor anali i he imehonored ool for decribing
More informationSOME USEFUL MATHEMATICS
SOME USEFU MAHEMAICS SOME USEFU MAHEMAICS I is esy o mesure n preic he behvior of n elecricl circui h conins only c volges n currens. However, mos useful elecricl signls h crry informion vry wih ime. Since
More informationIntroduction to AC Power, RMS RMS. ECE 2210 AC Power p1. Use RMS in power calculations. AC Power P =? DC Power P =. V I = R =. I 2 R. V p.
ECE MS I DC Power P I = Inroducion o AC Power, MS I AC Power P =? A Solp //9, // // correced p4 '4 v( ) = p cos( ω ) v( ) p( ) Couldn' we define an "effecive" volage ha would allow us o use he same relaionships
More information13.1 Circuit Elements in the s Domain Circuit Analysis in the s Domain The Transfer Function and Natural Response 13.
Chaper 3 The Laplace Tranform in Circui Analyi 3. Circui Elemen in he Domain 3.-3 Circui Analyi in he Domain 3.4-5 The Tranfer Funcion and Naural Repone 3.6 The Tranfer Funcion and he Convoluion Inegral
More informationForms of Energy. Mass = Energy. Page 1. SPH4U: Introduction to Work. Work & Energy. Particle Physics:
SPH4U: Inroducion o ork ork & Energy ork & Energy Discussion Definiion Do Produc ork of consn force ork/kineic energy heore ork of uliple consn forces Coens One of he os iporn conceps in physics Alernive
More information22.615, MHD Theory of Fusion Systems Prof. Freidberg Lecture 9: The High Beta Tokamak
.65, MHD Theory of Fusion Sysems Prof. Freidberg Lecure 9: The High e Tokmk Summry of he Properies of n Ohmic Tokmk. Advnges:. good euilibrium (smll shif) b. good sbiliy ( ) c. good confinemen ( τ nr )
More information6.8 Laplace Transform: General Formulas
48 HAP. 6 Laplace Tranform 6.8 Laplace Tranform: General Formula Formula Name, ommen Sec. F() l{ f ()} e f () d f () l {F()} Definiion of Tranform Invere Tranform 6. l{af () bg()} al{f ()} bl{g()} Lineariy
More informationNetwork Flows: Introduction & Maximum Flow
CSC 373 - lgorihm Deign, nalyi, and Complexiy Summer 2016 Lalla Mouaadid Nework Flow: Inroducion & Maximum Flow We now urn our aenion o anoher powerful algorihmic echnique: Local Search. In a local earch
More informationLinear Response Theory: The connection between QFT and experiments
Phys540.nb 39 3 Linear Response Theory: The connecion beween QFT and experimens 3.1. Basic conceps and ideas Q: How do we measure he conduciviy of a meal? A: we firs inroduce a weak elecric field E, and
More informationY 0.4Y 0.45Y Y to a proper ARMA specification.
HG Jan 04 ECON 50 Exercises II - 0 Feb 04 (wih answers Exercise. Read secion 8 in lecure noes 3 (LN3 on he common facor problem in ARMA-processes. Consider he following process Y 0.4Y 0.45Y 0.5 ( where
More informationChapter 6. Laplace Transforms
Chaper 6. Laplace Tranform Kreyzig by YHLee;45; 6- An ODE i reduced o an algebraic problem by operaional calculu. The equaion i olved by algebraic manipulaion. The reul i ranformed back for he oluion of
More informationMTH 146 Class 11 Notes
8.- Are of Surfce of Revoluion MTH 6 Clss Noes Suppose we wish o revolve curve C round n is nd find he surfce re of he resuling solid. Suppose f( ) is nonnegive funcion wih coninuous firs derivive on he
More information( ) ( ) if t = t. It must satisfy the identity. So, bulkiness of the unit impulse (hyper)function is equal to 1. The defining characteristic is
UNIT IMPULSE RESPONSE, UNIT STEP RESPONSE, STABILITY. Uni impulse funcion (Dirac dela funcion, dela funcion) rigorously defined is no sricly a funcion, bu disribuion (or measure), precise reamen requires
More informationUT Austin, ECE Department VLSI Design 5. CMOS Gate Characteristics
La moule: CMOS Tranior heory Thi moule: DC epone Logic Level an Noie Margin Tranien epone Delay Eimaion Tranior ehavior 1) If he wih of a ranior increae, he curren will ) If he lengh of a ranior increae,
More information4.8 Improper Integrals
4.8 Improper Inegrls Well you ve mde i hrough ll he inegrion echniques. Congrs! Unforunely for us, we sill need o cover one more inegrl. They re clled Improper Inegrls. A his poin, we ve only del wih inegrls
More informationANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER
John Riley 6 December 200 NWER TO ODD NUMBERED EXERCIE IN CHPTER 7 ecion 7 Exercie 7-: m m uppoe ˆ, m=,, M (a For M = 2, i i eay o how ha I implie I From I, for any probabiliy vecor ( p, p 2, 2 2 ˆ ( p,
More informationPHYSICS 1210 Exam 1 University of Wyoming 14 February points
PHYSICS 1210 Em 1 Uniersiy of Wyoming 14 Februry 2013 150 poins This es is open-noe nd closed-book. Clculors re permied bu compuers re no. No collborion, consulion, or communicion wih oher people (oher
More information- If one knows that a magnetic field has a symmetry, one may calculate the magnitude of B by use of Ampere s law: The integral of scalar product
11.1 APPCATON OF AMPEE S AW N SYMMETC MAGNETC FEDS - f one knows ha a magneic field has a symmery, one may calculae he magniude of by use of Ampere s law: The inegral of scalar produc Closed _ pah * d
More informationChapter Direct Method of Interpolation
Chper 5. Direc Mehod of Inerpolion Afer reding his chper, you should be ble o:. pply he direc mehod of inerpolion,. sole problems using he direc mehod of inerpolion, nd. use he direc mehod inerpolns o
More informationChapter 7: Inverse-Response Systems
Chaper 7: Invere-Repone Syem Normal Syem Invere-Repone Syem Baic Sar ou in he wrong direcion End up in he original eady-ae gain value Two or more yem wih differen magniude and cale in parallel Main yem
More informationCHAPTER. Forced Equations and Systems { } ( ) ( ) 8.1 The Laplace Transform and Its Inverse. Transforms from the Definition.
CHAPTER 8 Forced Equaion and Syem 8 The aplace Tranform and I Invere Tranform from he Definiion 5 5 = b b {} 5 = 5e d = lim5 e = ( ) b {} = e d = lim e + e d b = (inegraion by par) = = = = b b ( ) ( )
More informationBasic Circuit Elements Professor J R Lucas November 2001
Basic Circui Elemens - J ucas An elecrical circui is an inerconnecion of circui elemens. These circui elemens can be caegorised ino wo ypes, namely acive and passive elemens. Some Definiions/explanaions
More informationHall effect. Formulae :- 1) Hall coefficient RH = cm / Coulumb. 2) Magnetic induction BY 2
Page of 6 all effec Aim :- ) To deermine he all coefficien (R ) ) To measure he unknown magneic field (B ) and o compare i wih ha measured by he Gaussmeer (B ). Apparaus :- ) Gauss meer wih probe ) Elecromagne
More informationM r. d 2. R t a M. Structural Mechanics Section. Exam CT5141 Theory of Elasticity Friday 31 October 2003, 9:00 12:00 hours. Problem 1 (3 points)
Delf Universiy of Technology Fculy of Civil Engineering nd Geosciences Srucurl echnics Secion Wrie your nme nd sudy numer he op righ-hnd of your work. Exm CT5 Theory of Elsiciy Fridy Ocoer 00, 9:00 :00
More informationVersion 001 test-1 swinney (57010) 1. is constant at m/s.
Version 001 es-1 swinne (57010) 1 This prin-ou should hve 20 quesions. Muliple-choice quesions m coninue on he nex column or pge find ll choices before nswering. CubeUniVec1x76 001 10.0 poins Acubeis1.4fee
More information[5] Solving Multiple Linear Equations A system of m linear equations and n unknown variables:
[5] Solving Muliple Liner Equions A syse of liner equions nd n unknown vribles: + + + nn = b + + + = b n n : + + + nn = b n n A= b, where A =, : : : n : : : : n = : n A = = = ( ) where, n j = ( ); = :
More informationAverage Case Lower Bounds for Monotone Switching Networks
Average Cae Lower Bound for Monoone Swiching Nework Yuval Filmu, Toniann Piai, Rober Robere, Sephen Cook Deparmen of Compuer Science Univeriy of Torono Monoone Compuaion (Refreher) Monoone circui were
More informationMath Week 12 continue ; also cover parts of , EP 7.6 Mon Nov 14
Mh 225-4 Week 2 coninue.-.3; lo cover pr of.4-.5, EP 7.6 Mon Nov 4.-.3 Lplce rnform, nd pplicion o DE IVP, epecilly hoe in Chper 5. Tody we'll coninue (from l Wednedy) o fill in he Lplce rnform ble (on
More informations-domain Circuit Analysis
Domain ircui Analyi Operae direcly in he domain wih capacior, inducor and reior Key feaure lineariy i preerved c decribed by ODE and heir I Order equal number of plu number of Elemenbyelemen and ource
More informationPARABOLA. moves such that PM. = e (constant > 0) (eccentricity) then locus of P is called a conic. or conic section.
wwwskshieducioncom PARABOLA Le S be given fixed poin (focus) nd le l be given fixed line (Direcrix) Le SP nd PM be he disnce of vrible poin P o he focus nd direcrix respecively nd P SP moves such h PM
More informationAn object moving with speed v around a point at distance r, has an angular velocity. m/s m
Roion The mosphere roes wih he erh n moions wihin he mosphere clerly follow cure phs (cyclones, nicyclones, hurricnes, ornoes ec.) We nee o epress roion quniiely. For soli objec or ny mss h oes no isor
More informationLECTURE 23 SYNCHRONOUS MACHINES (3)
ECE 330 POWER CIRCUITS AND ELECTROMECHANICS LECTURE 3 SYNCHRONOUS MACHINES (3) Acknowledgent-Thee hndout nd lecture note given in cl re bed on teril fro Prof. Peter Suer ECE 330 lecture note. Soe lide
More informationReading from Young & Freedman: For this topic, read sections 25.4 & 25.5, the introduction to chapter 26 and sections 26.1 to 26.2 & 26.4.
PHY1 Elecriciy Topic 7 (Lecures 1 & 11) Elecric Circuis n his opic, we will cover: 1) Elecromoive Force (EMF) ) Series and parallel resisor combinaions 3) Kirchhoff s rules for circuis 4) Time dependence
More informationPositive and negative solutions of a boundary value problem for a
Invenion Journl of Reerch Technology in Engineering & Mngemen (IJRTEM) ISSN: 2455-3689 www.ijrem.com Volume 2 Iue 9 ǁ Sepemer 28 ǁ PP 73-83 Poiive nd negive oluion of oundry vlue prolem for frcionl, -difference
More informationCHAPTER 11 PARAMETRIC EQUATIONS AND POLAR COORDINATES
CHAPTER PARAMETRIC EQUATIONS AND POLAR COORDINATES. PARAMETRIZATIONS OF PLANE CURVES., 9, _ _ Ê.,, Ê or, Ÿ. 5, 7, _ _.,, Ÿ Ÿ Ê Ê 5 Ê ( 5) Ê ˆ Ê 6 Ê ( 5) 7 Ê Ê, Ÿ Ÿ $ 5. cos, sin, Ÿ Ÿ 6. cos ( ), sin (
More informationWeek 1 Lecture 2 Problems 2, 5. What if something oscillates with no obvious spring? What is ω? (problem set problem)
Week 1 Lecure Problems, 5 Wha if somehing oscillaes wih no obvious spring? Wha is ω? (problem se problem) Sar wih Try and ge o SHM form E. Full beer can in lake, oscillaing F = m & = ge rearrange: F =
More informationMATH 124 AND 125 FINAL EXAM REVIEW PACKET (Revised spring 2008)
MATH 14 AND 15 FINAL EXAM REVIEW PACKET (Revised spring 8) The following quesions cn be used s review for Mh 14/ 15 These quesions re no cul smples of quesions h will pper on he finl em, bu hey will provide
More informationNMR Spectroscopy: Principles and Applications. Nagarajan Murali Advanced Tools Lecture 4
NMR Specroscop: Principles nd Applicions Ngrjn Murli Advnced Tools Lecure 4 Advnced Tools Qunum Approch We know now h NMR is rnch of Specroscop nd he MNR specrum is n oucome of nucler spin inercion wih
More informationAverage & instantaneous velocity and acceleration Motion with constant acceleration
Physics 7: Lecure Reminders Discussion nd Lb secions sr meeing ne week Fill ou Pink dd/drop form if you need o swich o differen secion h is FULL. Do i TODAY. Homework Ch. : 5, 7,, 3,, nd 6 Ch.: 6,, 3 Submission
More informationTwo Coupled Oscillators / Normal Modes
Lecure 3 Phys 3750 Two Coupled Oscillaors / Normal Modes Overview and Moivaion: Today we ake a small, bu significan, sep owards wave moion. We will no ye observe waves, bu his sep is imporan in is own
More informationPhysics 2A HW #3 Solutions
Chper 3 Focus on Conceps: 3, 4, 6, 9 Problems: 9, 9, 3, 41, 66, 7, 75, 77 Phsics A HW #3 Soluions Focus On Conceps 3-3 (c) The ccelerion due o grvi is he sme for boh blls, despie he fc h he hve differen
More information8.1. a) For step response, M input is u ( t) Taking inverse Laplace transform. as α 0. Ideal response, K c. = Kc Mτ D + For ramp response, 8-1
8. a For ep repone, inpu i u, U Y a U α α Y a α α Taking invere Laplae ranform a α e e / α / α A α 0 a δ 0 e / α a δ deal repone, α d Y i Gi U i δ Hene a α 0 a i For ramp repone, inpu i u, U Soluion anual
More information