Introduction of Chaos in Electric Drive Systems

Slides:



Advertisements
Similar presentations
Piecewise-smooth dynamical systems: Bouncing, slipping and switching: 1. Introduction Chris Budd.
Advertisements

Bifurcations in piecewise-smooth systems Chris Budd.
From
Hamiltonian Chaos and the standard map Poincare section and twist maps. Area preserving mappings. Standard map as time sections of kicked oscillator (link.
3-D State Space & Chaos Fixed Points, Limit Cycles, Poincare Sections Routes to Chaos –Period Doubling –Quasi-Periodicity –Intermittency & Crises –Chaotic.
Neural chaos (Chapter 11 of Wilson 1999) Klaas Enno Stephan Laboratory for Social & Neural Systems Research Dept. of Economics University of Zurich Wellcome.
Dynamics, Chaos, and Prediction. Aristotle, 384 – 322 BC.
Dynamical Systems and Chaos CAS Spring Introduction to Dynamical Systems Basic Concepts of Dynamics A dynamical system: –Has a notion of state,
Introduction to chaotic dynamics
1 Class #27 Notes :60 Homework Is due before you leave Problem has been upgraded to extra-credit. Probs and are CORE PROBLEMS. Make sure.
CHΑΟS and (un-) predictability Simos Ichtiaroglou Section of Astrophysics, Astronomy and Mechanics Physics Department University of Thessaloniki.
Mathematical Analysis of a Demonstrative Chaotic Circuit Karen Kelleher and Dr. Thomas Kling, Department of Physics, Bridgewater State College, Bridgewater,
Deterministic Chaos PHYS 306/638 University of Delaware ca oz.
II. Towards a Theory of Nonlinear Dynamics & Chaos 3. Dynamics in State Space: 1- & 2- D 4. 3-D State Space & Chaos 5. Iterated Maps 6. Quasi-Periodicity.
Chaos Control (Part III) Amir massoud Farahmand Advisor: Caro Lucas.
Nonlinear Physics Textbook: –R.C.Hilborn, “Chaos & Nonlinear Dynamics”, 2 nd ed., Oxford Univ Press (94,00) References: –R.H.Enns, G.C.McGuire, “Nonlinear.
Dr. Leon O Chua – Director 151M Cory Hall University of California, Berkeley August 30 th 2007 Chua’s Circuit: The Paradigm.
Analysis of the Rossler system Chiara Mocenni. Considering only the first two equations and ssuming small z The Rossler equations.
Renormalization and chaos in the logistic map. Logistic map Many features of non-Hamiltonian chaos can be seen in this simple map (and other similar one.
Synchronization and Encryption with a Pair of Simple Chaotic Circuits * Ken Kiers Taylor University, Upland, IN * Some of our results may be found in:
10/2/2015Electronic Chaos Fall Steven Wright and Amanda Baldwin Special Thanks to Mr. Dan Brunski.
Modeling chaos 1. Books: H. G. Schuster, Deterministic chaos, an introduction, VCH, 1995 H-O Peitgen, H. Jurgens, D. Saupe, Chaos and fractals Springer,
Strange Attractors From Art to Science J. C. Sprott Department of Physics University of Wisconsin - Madison Presented to the Society for chaos theory in.
Introduction to Quantum Chaos
Controlling Chaos! Dylan Thomas and Alex Yang. Why control chaos? One may want a system to be used for different purposes at different times Chaos offers.
Chaos Theory MS Electrical Engineering Department of Engineering
11 Dynamical Routes to Clusters and Scaling in Globally Coupled Chaotic Systems Sang-Yoon Kim Department of Physics Kangwon National University  Globally.
Low-Dimensional Chaotic Signal Characterization Using Approximate Entropy Soundararajan Ezekiel Matthew Lang Computer Science Department Indiana University.
Some figures adapted from a 2004 Lecture by Larry Liebovitch, Ph.D. Chaos BIOL/CMSC 361: Emergence 1/29/08.
Introduction to Chaos by: Saeed Heidary 29 Feb 2013.
Introduction to Chaos Clint Sprott Department of Physics University of Wisconsin - Madison Presented to Physics 311 at University of Wisconsin in Madison,
Synchronization in complex network topologies
1 Synchronization in Coupled Chaotic Systems Sang-Yoon Kim Department of Physics Kangwon National University Korea Synchronization in Coupled Periodic.
Novel Cascaded Chaotic Masking for Secure Communications
A Simple Chaotic Circuit Ken Kiers and Dory Schmidt Physics Department, Taylor University, 236 West Reade Ave., Upland, Indiana J.C. Sprott Department.
Amir massoud Farahmand
Control and Synchronization of Chaos Li-Qun Chen Department of Mechanics, Shanghai University Shanghai Institute of Applied Mathematics and Mechanics Shanghai.
2D Henon Map The 2D Henon Map is similar to a real model of the forced nonlinear oscillator. The Purpose is The Investigation of The Period Doubling Transition.
Analysis of the Rossler system Chiara Mocenni. Considering only the first two equations and assuming small z, we have: The Rossler equations.
1 Quasiperiodic Dynamics in Coupled Period-Doubling Systems Sang-Yoon Kim Department of Physics Kangwon National University Korea Nonlinear Systems with.
Controlling Chaos Journal presentation by Vaibhav Madhok.
1 Strange Nonchaotic Attractors in Quasiperiodically Forced Period-Doubling Systems  Quasiperiodically Forced Systems  : Irrational No.  Typical Appearance.
Application of Bifurcation Theory To Current Mode Controlled (CMC) DC-DC Converters.
ECE-7000: Nonlinear Dynamical Systems 3. Phase Space Methods 3.1 Determinism: Uniqueness in phase space We Assume that the system is linear stochastic.
V.V. Emel’yanov, S.P. Kuznetsov, and N.M. Ryskin* Saratov State University, , Saratov, Russia * GENERATION OF HYPERBOLIC.
Stability and instability in nonlinear dynamical systems
Hiroki Sayama NECSI Summer School 2008 Week 3: Methods for the Study of Complex Systems Introduction / Iterative Maps Hiroki Sayama.
The Cournot duopoly Kopel Model
Chaos Analysis.
Chaos Control (Part III)
Chaotic systems and Chua’s Circuit
Chapter 3 Simulation for BLDC Motor Drives
Application of Chaos in Electric Drive Systems
High Dimensional Chaos
Intermittency route to chaos
Handout #21 Nonlinear Systems and Chaos Most important concepts
Introduction to chaotic dynamics
Strange Attractors From Art to Science
Mathematical Model and Characteristics Analysis of the BLDC motor
Modeling of Biological Systems
Qiudong Wang, University of Arizona (Joint With Kening Lu, BYU)
Introduction to chaotic dynamics
By: Bahareh Taghizadeh
Chaos Synchronization in Coupled Dynamical Systems
Periodic Orbit Theory for The Chaos Synchronization
W. Lim1, S.-Y. Kim1, E. Ott2, and B. Hunt2 1 Department of Physics
Control of Chaos in Electric Drive Systems
Lyapunov Exponent of The 2D Henon Map
Scaling Behavior in the Stochastic 1D Map
Localizing the Chaotic Strange Attractors of Multiparameter Nonlinear Dynamical Systems using Competitive Modes A Literary Analysis.
Presentation transcript:

Introduction of Chaos in Electric Drive Systems K. T. Chau Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China Zheng Wang School of Electrical Engineering, Southeast University, Nanjing, China Chaos in Electric Drive Systems: Analysis, Control and Application, First Edition. K.T. Chau and Zheng Wang. © 2011 John Wiley & Sons (Asia) Pte Ltd. Published 2011 by John Wiley & Sons (Asia) Pte Ltd.

Features of Chaos Nonlinearity Determinism Nonlinearity is a necessary, but not sufficient condition for the occurrence of chaos Determinism Chaos must follow one or more deterministic equations that do not contain any random factors Sensitive dependence on initial conditions A small change in the initial state of the system can lead to extremely different behavior in its final state Aperiodicity Chaotic orbits are aperiodic, but not all aperiodic orbits are chaotic Chaos in Electric Drive Systems: Analysis, Control and Application, First Edition. K.T. Chau and Zheng Wang. © 2011 John Wiley & Sons (Asia) Pte Ltd. Published 2011 by John Wiley & Sons (Asia) Pte Ltd.

Chaos in Electronic Circuits The investigation of chaos in electronic circuits can be grouped as: One-dimensional-map circuits (switched-capacitor circuit) Higher-dimensional-map circuits (infinite impulse response digital filter) Continuous-time autonomous circuits (Chua circuit) Continuous-time non-autonomous circuits (phase-locked loop circuit) Fig. 1 Chua circuit. Chaos in Electric Drive Systems: Analysis, Control and Application, First Edition. K.T. Chau and Zheng Wang. © 2011 John Wiley & Sons (Asia) Pte Ltd. Published 2011 by John Wiley & Sons (Asia) Pte Ltd.

Chaos in Telecommunications The chaos-based telecommunications can be grouped as: Chaotic masking (feedback-based chaotic masking; observer based chaotic masking) Chaotic modulation (communication based on a modulated transmitter parameter) Chaotic switching (chaos shift keying based chaotic switching; differential chaos shift keying based chaotic switching) Fig. 2 Chaos-based communication system. Chaos in Electric Drive Systems: Analysis, Control and Application, First Edition. K.T. Chau and Zheng Wang. © 2011 John Wiley & Sons (Asia) Pte Ltd. Published 2011 by John Wiley & Sons (Asia) Pte Ltd.

Chaos in Power Electronics Analysis of chaos in power converters Buck converter, boost converter, Ćuk converter, et al. Control of chaos in power converters Parameter perturbation, time-delayed feedback control, et al. Application of chaos in power converters: Electromagnetic compatibility improvement, chaotic targeting, et al. Fig. 3 Chaos in simple buck converter. Chaos in Electric Drive Systems: Analysis, Control and Application, First Edition. K.T. Chau and Zheng Wang. © 2011 John Wiley & Sons (Asia) Pte Ltd. Published 2011 by John Wiley & Sons (Asia) Pte Ltd.

Chaos in Power Systems The research of chaos in power systems can be grouped as: Power system stability and control Power flow optimization Unit commitment scheduling Load forecasting Fault analysis Fig. 4 Chaos in simple power system. Chaos in Electric Drive Systems: Analysis, Control and Application, First Edition. K.T. Chau and Zheng Wang. © 2011 John Wiley & Sons (Asia) Pte Ltd. Published 2011 by John Wiley & Sons (Asia) Pte Ltd.

Chaos in Electric Drive Systems Investigation of chaos in electric drive systems includes: Chaos in DC drive systems Chaos in induction drive systems Chaos in PM brushless AC drive systems Chaos in PM brushless DC drive systems Chaos in synchronous reluctance drive systems Chaos in switched reluctance drive systems Chaos in doubly salient PM drive systems Chaos in Electric Drive Systems: Analysis, Control and Application, First Edition. K.T. Chau and Zheng Wang. © 2011 John Wiley & Sons (Asia) Pte Ltd. Published 2011 by John Wiley & Sons (Asia) Pte Ltd.

Criterion for Chaos Lyapunov exponent Fractal dimensions Entropy The Lyapunov exponent is the exponential rate of divergence and convergence. If the maximum Lyapunov exponent of a dynamical system is positive, this system is chaotic; otherwise, it is nonchaotic. Fractal dimensions The dimension of an attractor is a measure of the number of active variables and the complexity of the equations required to model the system dynamics. If the attractor’s dimension is not an integer, the attractor is a strange attractor. Entropy The sum of the positive Lyapunov exponents is the Kolmogorov-Sinai (K-S) entropy which is a positive constant for a chaotic system. The chaotic degree increases with the value of K-S entropy. Chaos in Electric Drive Systems: Analysis, Control and Application, First Edition. K.T. Chau and Zheng Wang. © 2011 John Wiley & Sons (Asia) Pte Ltd. Published 2011 by John Wiley & Sons (Asia) Pte Ltd.

Route to Chaos Period doubling cascade route to chaos The stable fixed points become unstable in a series of period doubling bifurcation, and subharmonic behavior occurs. Intermittency transition to chaos From saddle-node bifurcation From subcritical bifurcation From inverse period doubling bifurcation Chaos from manifold tangle When the manifolds intersect transversely once, they intersect infinite times. It results in stretching and folding actions, and gives an embedded horseshoe map which leads to chaos. Chaos from crisis Chaos in Electric Drive Systems: Analysis, Control and Application, First Edition. K.T. Chau and Zheng Wang. © 2011 John Wiley & Sons (Asia) Pte Ltd. Published 2011 by John Wiley & Sons (Asia) Pte Ltd.

Fundamentals of Electric Drive Systems Fig. 5 Functional block diagram of electric drive system. Chaos in Electric Drive Systems: Analysis, Control and Application, First Edition. K.T. Chau and Zheng Wang. © 2011 John Wiley & Sons (Asia) Pte Ltd. Published 2011 by John Wiley & Sons (Asia) Pte Ltd.

Fundamentals of Electric Drive Systems Fig. 6 Classification of electric motors. Chaos in Electric Drive Systems: Analysis, Control and Application, First Edition. K.T. Chau and Zheng Wang. © 2011 John Wiley & Sons (Asia) Pte Ltd. Published 2011 by John Wiley & Sons (Asia) Pte Ltd.

DC Drive Systems Fig. 7 Motor and circuit topologies of DC drive system. Chaos in Electric Drive Systems: Analysis, Control and Application, First Edition. K.T. Chau and Zheng Wang. © 2011 John Wiley & Sons (Asia) Pte Ltd. Published 2011 by John Wiley & Sons (Asia) Pte Ltd.

Induction Drive Systems Fig. 8 Motor and circuit topologies of induction drive system. Chaos in Electric Drive Systems: Analysis, Control and Application, First Edition. K.T. Chau and Zheng Wang. © 2011 John Wiley & Sons (Asia) Pte Ltd. Published 2011 by John Wiley & Sons (Asia) Pte Ltd.

PM Brushless Drive Systems Fig. 9 Motor topologies of PM brushless drive system (Left: surface mounted PM; Middle: inset PM; Right: interior PM). Chaos in Electric Drive Systems: Analysis, Control and Application, First Edition. K.T. Chau and Zheng Wang. © 2011 John Wiley & Sons (Asia) Pte Ltd. Published 2011 by John Wiley & Sons (Asia) Pte Ltd.

Switched Reluctance Drive Systems Fig. 10 Motor and circuit topologies of switched reluctance drive system. Chaos in Electric Drive Systems: Analysis, Control and Application, First Edition. K.T. Chau and Zheng Wang. © 2011 John Wiley & Sons (Asia) Pte Ltd. Published 2011 by John Wiley & Sons (Asia) Pte Ltd.