First-order piecewise-linear dynamic circuits

Similar documents
2/20/2013. EE 101 Midterm 2 Review

10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current :

CHAPTER 2 Quick Quizzes

Chapter 6: AC Circuits

Energy Storage Devices

Motion in Two Dimensions

UNIT 1 ONE-DIMENSIONAL MOTION GRAPHING AND MATHEMATICAL MODELING. Objectives

Chapters 2 Kinematics. Position, Distance, Displacement

Notes on the stability of dynamic systems and the use of Eigen Values.

Lesson 2 Transmission Lines Fundamentals

3. OVERVIEW OF NUMERICAL METHODS

A capacitor consists of two conducting plates, separated by an insulator. Conduction plates: e.g., Aluminum foil Insulator: air, mica, ceramic, etc

TUTORIAL SOLUTIONS. F.1 KCL, KVL, Power and Energy Q.1. i All units in VAΩ,,

Relative controllability of nonlinear systems with delays in control

Example: MOSFET Amplifier Distortion

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD

PHYS 1443 Section 001 Lecture #4

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!

Displacement, Velocity, and Acceleration. (WHERE and WHEN?)

Chapter Lagrangian Interpolation

WebAssign HW Due 11:59PM Tuesday Clicker Information

Revision: June 12, E Main Suite D Pullman, WA (509) Voice and Fax

Bandlimited channel. Intersymbol interference (ISI) This non-ideal communication channel is also called dispersive channel

P R = P 0. The system is shown on the next figure:

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy

Linear Response Theory: The connection between QFT and experiments

The Finite Element Method for the Analysis of Non-Linear and Dynamic Systems

Chapter 2 Linear dynamic analysis of a structural system

[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5

R th is the Thevenin equivalent at the capacitor terminals.

Transient Response in Electric Circuits

Including the ordinary differential of distance with time as velocity makes a system of ordinary differential equations.

Lecture 2 M/G/1 queues. M/G/1-queue

Power Electronics 7. Diode and Diode Circuits

Comb Filters. Comb Filters

Lecture 18: The Laplace Transform (See Sections and 14.7 in Boas)

( ) () we define the interaction representation by the unitary transformation () = ()

3/16/2012. EE101 Review. Reference Directions

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s

. The geometric multiplicity is dim[ker( λi. number of linearly independent eigenvectors associated with this eigenvalue.

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS

. The geometric multiplicity is dim[ker( λi. A )], i.e. the number of linearly independent eigenvectors associated with this eigenvalue.

Mechanics Physics 151

Chapter 5. Circuit Theorems

Let s treat the problem of the response of a system to an applied external force. Again,

Graduate Macroeconomics 2 Problem set 5. - Solutions

Online Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading

On One Analytic Method of. Constructing Program Controls

Variants of Pegasos. December 11, 2009

Sampling Procedure of the Sum of two Binary Markov Process Realizations

Response of MDOF systems

EEL 6266 Power System Operation and Control. Chapter 5 Unit Commitment

Analytical Solution to Optimal Control by Orthogonal Polynomial Expansion

2. Electric Circuit Theory

V R. Electronics and Microelectronics AE4B34EM. Electronics and Microelectronics AE4B34EM. Voltage. Basic concept. Voltage.

Midterm Exam. Thursday, April hour, 15 minutes

e-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov

On computing differential transform of nonlinear non-autonomous functions and its applications

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation

Born Oppenheimer Approximation and Beyond

Energy Storage Devices

Control Systems. Mathematical Modeling of Control Systems.

Should Exact Index Numbers have Standard Errors? Theory and Application to Asian Growth

Solution in semi infinite diffusion couples (error function analysis)

Performance Analysis for a Network having Standby Redundant Unit with Waiting in Repair

Evaluation of an Alternate Soft Charge Circuit for Diode Front End Variable Frequency Drives

Physics 4C. Chapter 19: Conceptual Questions: 6, 8, 10 Problems: 3, 13, 24, 31, 35, 48, 53, 63, 65, 78, 87

Time-interval analysis of β decay. V. Horvat and J. C. Hardy

CHAPTER II AC POWER CALCULATIONS

DYNAMICS ANALYSIS OF LFR MODEL FOR A SINGLE-STAGE HIGH POWER FACTOR CORRECTION DIAGONAL HALF-BRIDGE FLYBACK AC/DC CONVERTER

12d Model. Civil and Surveying Software. Drainage Analysis Module Detention/Retention Basins. Owen Thornton BE (Mech), 12d Model Programmer

between standard Gibbs free energies of formation for products and reactants, ΔG! R = ν i ΔG f,i, we

( )a = "t = 1 E =" B E = 5016 V. E = BHv # 3. 2 %r. c.) direction of induced current in the loop for : i.) "t < 1

A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION

II. Light is a Ray (Geometrical Optics)

Homework-8(1) P8.3-1, 3, 8, 10, 17, 21, 24, 28,29 P8.4-1, 2, 5

Online Appendix for. Strategic safety stocks in supply chains with evolving forecasts

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany

Lecture 11 Inductance and Capacitance

ARWtr 2004 Modern Transformers October. Vigo Spain Transformers

FTCS Solution to the Heat Equation

Vibrations and Waves

Different kind of oscillation

A New Generalized Gronwall-Bellman Type Inequality

Nonlinearity versus Perturbation Theory in Quantum Mechanics

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( )

Motion of Wavepackets in Non-Hermitian. Quantum Mechanics

A Fast On-Chip Decoupling Capacitance Budgeting Algorithm Using Macromodeling and Linear Programming

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS

Mechanics Physics 151

DEEP UNFOLDING FOR MULTICHANNEL SOURCE SEPARATION SUPPLEMENTARY MATERIAL

Testing a new idea to solve the P = NP problem with mathematical induction

COMPUTER SCIENCE 349A SAMPLE EXAM QUESTIONS WITH SOLUTIONS PARTS 1, 2

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005

J i-1 i. J i i+1. Numerical integration of the diffusion equation (I) Finite difference method. Spatial Discretization. Internal nodes.

Mechanics Physics 151

Chapter 6 DETECTION AND ESTIMATION: Model of digital communication system. Fundamental issues in digital communications are

ECON 8105 FALL 2017 ANSWERS TO MIDTERM EXAMINATION

Methods of Improving Constitutive Equations

Transcription:

Frs-order pecewse-lnear dynamc crcus. Fndng he soluon We wll sudy rs-order dynamc crcus composed o a nonlnear resse one-por, ermnaed eher by a lnear capacor or a lnear nducor (see Fg.. Nonlnear resse one-por C c C Nonlnear resse one-por (a (b Fg. The one-por consss o lnear and nonlnear ressors and DC sources. The olage curren characersc o each nonlnear ressor nsde he one por wll be approxmaed by a pecewse lnear uncon, conssng o seeral lnear segmens as shown n Fg.. Consequenly, he drng-pon characersc o he one-por s also a pecewse lnear. Fg. e us concenrae on he crcu shown n Fg..a and nd he soluon ( ( C, assumng he nal capacor olage C ( VO. The por olage ( C ( a an arbrary nsan o me and he correspondng por curren ( can be consdered as he coordnaes o a pon on he drng-pon characersc. As me ncreases he pon moes along he characersc sarng rom he gen nal pon. Thus, he pon races some dreced roue, called a dynamc roue. Snce he dynamc roue consss o lnear segmens we can oban he soluon along each o he segmens separaely, usng eece echnques o he lnear

analyss. In hs way he analyss o he nonlnear (pecewse lnear dynamc crcus s ransormed o a sequence o analyses o lnear dynamc crcus. The descrbed approach wll be llusraed usng a numercal example. Example e us consder he crcu shown n Fg. 3.a, where he pecewse lnear approxmaon o he drng-pon characersc o he nonlnear one-por s depced n Fg. 3.b. [V] 3 P Nonlnear resse one-por 5 P P P 3 - [A] (a (b Daa:.mH, ( A. Fg. 3 To deermne he dynamc roue we wre he equaon Subsung and yelds d. ( d d d. ( The equaon ( saes ha or >, d /d < and he curren s a decreasng uncon o me. For <, d /d > and he curren s an ncreasng uncon o me. Snce ( ( A, he dynamc roue consss o he lnear segmens P P, P P, and P P 3. A he pon P 3, hence, d /d (see equaon (. The pon where d /d s called an equlbrum pon. Thus, A speces he equlbrum pon correspondng o he seady sae soluon. Below we sudy separaely all here segmens o he dynamc roue. P P The segmen P P les on he sragh lne descrbed by he equaon 5, (3 whch can be consdered as a descrpon o a lnear ressor hang he ressance R 5Ω. Thus, as long as he pon (, ( remans on he segmen P P he dynamc crcu can be represened by he model shown n Fg. 4. R 5Ω Fg. 4

Snce he crcu depced n Fg. 4 s lnear, s soluon s gen by he ormula where, ( ( + ( ( ( e τ ( A τ ms, (. Hence, we hae, (4 5 R 5 ( e, where s n mllseconds. The equaon (5 s ald as long as ( (, holds hence e 5 3 ln 4.6 ms. 5 Thus, or 4.6 ms he curren ( s speced by he equaon (5. P P The segmen P P les on he sragh lne descrbed by he equaon, 3 (5. For or (, + 5, (7 whch can be consdered as a descrpon o seres connecon o ressor R 5Ω and olage source V V. Hence, we oban he crcu shown n Fg. 5. (6 R 5Ω The soluon where ( V V s gen by he equaon Fg. 5 ( ( + ( ( ( ( e, (8 τ V ( ( A, ( A, τ ms. R R 5 Subsung no (8 yelds ( ( 5 3e. (9, remans on he segmen P P. The equaon (9 s ald as long as he pon ( ( Denoe he me a whch by. Then, ( and usng he equaon (9 we hae ( 5 4. 6 3e. ( We sole he equaon ( or 3 4.6 + ln.73 ms. 5

4 P P 3 In hs case we hae + ( and he crcu s modeled as shown n Fg. 6. R Ω V V Fg. 6 The soluon s gen by he equaon where Hence, we oban ( ( + ( ( ( ( e, ( τ (, ( A, τ. ms. (. 73 ( e. (3 As he curren ends o he equlbrum ( A. To plo ( we use he equaons (5, (9 and (3 and he correspondng me nerals (see Fg. 7. ( ( 4.6-3 e (. 73 e 5.73-3 [ms] 3e 5 ( 4. 6 Fg. 7

5 Relaxaon oscllaor. Consder he crcu shown n Fg. 8 conssng o a resse pecewse lnear one por, ermnaed by a capacor. R C C C R R Fg. 8 The drng pon characersc o he resse one-por s shown n Fg. 9 where R β. R + R E + R R sa P Q B ( o Vo C βe sa R R R βe sa Q A P P R E R sa Fg. 9 To deermne he dynamc roue we wre he equaon dc C C. (4 d Snce, we oban C C

6 d. (5 d C The equaon (5 saes ha < hen d /d > and ncreases as ncreases. I >, hen d /d < and decreases as ncreases. Thus, he dynamc roue mus moe oward he le n he upper hal plane and oward he rgh n he lower hal plane, as ndcaed by he arrow heads n Fg. 9. Suppose ha he nal olage C ( ( V, hen he nal pon on he drng pon characersc s P (see Fg.9. The pon ((, ( moes along he loer segmen o he characersc and reaches, a some me, he breakpon Q A. Snce he curren ( s negae, Q A s no equlbrum pon. Snce boh segmens meeng a he pon Q A are oposly dreced s mpossble o connue he dynamc roue along hese segmens. Thereore we assume ha he soluon jumps rom he pon Q A o he pon P as shown n Fg. 9. Nex he soluon moes oward he le, reachng aer some me he breakpon Q B and he dynamc roue s connued by jumpng o he pon P. Thus, aer some ransen me rom P o P he dynamc roue P -Q A -P -Q B -P s closed and he soluon waeorm s perodc. The crcu operaes as an oscllaor. The waeorms o ( and ( are skeched n gures and. ( Q A, P Q A, P P P ( Fg. Q B, P P P Q B Q A Q A P P P Fg.