1 A Dynamic Model for Magnetostrictive Hysteresis Xiaobo Tan, John S. Baras, and P. S. Krishnaprasad Institute for Systems Research and Department of Electrical.

Slides:



Advertisements
Similar presentations
Courant and all that Consistency, Convergence Stability Numerical Dispersion Computational grids and numerical anisotropy The goal of this lecture is to.
Advertisements

Representation of Hysteresis with Return Point Memory: Expanding the Operator Basis Gary Friedman Department of Electrical and Computer Engineering Drexel.
Boyce/DiPrima 9th ed, Ch 2.4: Differences Between Linear and Nonlinear Equations Elementary Differential Equations and Boundary Value Problems, 9th edition,
Coordination of Multi-Agent Systems Mark W. Spong Donald Biggar Willett Professor Department of Electrical and Computer Engineering and The Coordinated.
IFAC AIRTC, Budapest, October 2000 On the Dynamic Instability of a Class of Switching System Robert Noel Shorten Department of Computer Science National.
Josh Durham Jacob Swett. Dynamic Behaviors of a Harvesting Leslie-Gower Predator-Prey Model Na Zhang, 1 Fengde Chen, 1 Qianqian Su, 1 and Ting Wu 2 1.
Uniform Treatment of Numerical Time-Integrations of the Maxwell Equations R. Horváth TU/e, Philips Research Eindhoven TU/e Eindhoven, 27th June, 2002 Scientific.
5/4/2015rew Accuracy increase in FDTD using two sets of staggered grids E. Shcherbakov May 9, 2006.
A New Hysteretic Reactor Model for Transformer Energization Applications Title: By : Afshin Rezaei-Zare & Reza Iravani University of Toronto June 2011.
Reaction-diffusion equations with spatially distributed hysteresis Pavel Gurevich, Sergey Tikhomirov Free University of Berlin Roman Shamin Shirshov Institute.
Level Set Formulation for Curve Evolution Ron Kimmel Computer Science Department Technion-Israel Institute of Technology Geometric.
September 2008CORTONA-ITALY, DOUBLY STRUCTURED SETS OF SYMPLECTIC MATRICES Froilán M. Dopico Instituto de Ciencias Matemáticas CSIC-UAM-UC3M-UCM.
Introduction to Calculus of Variations Ron Kimmel Computer Science Department Technion-Israel Institute of Technology Geometric.
Highlights of CDCSS-UMD Accomplishments
IV.4 Limits of sequences introduction
Development of Empirical Models From Process Data
Harvard University - Boston University - University of Maryland Numerical Micromagnetics Xiaobo TanJohn S. Baras P. S. Krishnaprasad University of Maryland.
Harvard - Boston University - University of Maryland Magnetostrictive Models R. Venkataraman, P. S. Krishnaprasad Low dimensional models Presentation to.
Continuous Morphology and Distance Maps Ron Kimmel Computer Science Department Technion-Israel Institute of Technology Geometric.
Error estimates for degenerate parabolic equation Yabin Fan CASA Seminar,
Superconducting Semilocal Stringy Textures L. Perivolaropoulos Institute for Nuclear Physics Research Demokritos.
1 Chapter 6 Numerical Methods for Ordinary Differential Equations.
Dimitrios Konstantas, Evangelos Grigoroudis, Vassilis S. Kouikoglou and Stratos Ioannidis Department of Production Engineering and Management Technical.
Lecture 35 Numerical Analysis. Chapter 7 Ordinary Differential Equations.
Computational Methods for Design Lecture 3 – Elementary Differential Equations John A. Burns C enter for O ptimal D esign A nd C ontrol I nterdisciplinary.
Unique additive information measures – Boltzmann-Gibbs-Shannon, Fisher and beyond Peter Ván BME, Department of Chemical Physics Thermodynamic Research.
Sistem Kontrol I Kuliah II : Transformasi Laplace Imron Rosyadi, ST 1.
HYDRODYNAMIC MODES AND NONEQUILIBRIUM STEADY STATES Pierre GASPARD Brussels, Belgium J. R. Dorfman, College Park S. Tasaki, Tokyo T. Gilbert, Brussels.
Active magnetic attitude control system providing three-axis inertial attitude M. Ovchinnikov, V. Penkov, D. Roldugin, A. Guerman Keldysh Institute of.
Statistical Estimation of Word Acquisition with Application to Readability Prediction Proceedings of the 2009 Conference on Empirical Methods in Natural.
A Finite Differencing Solution for Evaluating European Prices Computational Finance ~cs 757 Project # CFWin03-33 May 30, 2003 Presented by: Vishnu K Narayanasami.
Computational Methods for Design Lecture 4 – Introduction to Sensitivities John A. Burns C enter for O ptimal D esign A nd C ontrol I nterdisciplinary.
The DYNAMICS & GEOMETRY of MULTIRESOLUTION METHODS Wayne M. Lawton Department of Mathematics National University of Singapore 2 Science Drive 2 Singapore.
LURE 2009 SUMMER PROGRAM John Alford Sam Houston State University.
Phase Separation and Dynamics of a Two Component Bose-Einstein Condensate.
Stress constrained optimization using X-FEM and Level Set Description
Synchronization in complex network topologies
Institute of Intelligent Power Electronics – IPE Page1 A Dynamical Fuzzy System with Linguistic Information Feedback Xiao-Zhi Gao and Seppo J. Ovaska Institute.
International Workshop on Resonance Oscillations and Stability of Nonsmooth Systems Imperial College London London, United Kingdom June 16–25, 2009 A joint.
AUTOMATIC CONTROL THEORY II Slovak University of Technology Faculty of Material Science and Technology in Trnava.
Using Partial Fraction Expansion
Influence of pressure-gradient and average- shear on ballooning stability semi-analytic expression for ballooning growth rate S.R.Hudson 1, C.C.Hegna 2,
BART VANLUYTEN, JAN C. WILLEMS, BART DE MOOR 44 th IEEE Conference on Decision and Control December 2005 Model Reduction of Systems with Symmetries.
Control and Synchronization of Chaos Li-Qun Chen Department of Mechanics, Shanghai University Shanghai Institute of Applied Mathematics and Mechanics Shanghai.
Lecture 24 Transient Stability Professor Tom Overbye Department of Electrical and Computer Engineering ECE 476 POWER SYSTEM ANALYSIS.
STATIC ANALYSIS OF UNCERTAIN STRUCTURES USING INTERVAL EIGENVALUE DECOMPOSITION Mehdi Modares Tufts University Robert L. Mullen Case Western Reserve University.
CDC Control over Wireless Communication Channel for Continuous-Time Systems C. D. Charalambous ECE Department University of Cyprus, Nicosia, Cyprus.
Computacion Inteligente Least-Square Methods for System Identification.
College of Information & Technology L A M S S SMART ACTUATORS CHARACTERIZATION Victor Giurgiutiu, Radu Pomîrleanu Laboratory of Active Materials and Smart.
Simulation of Phase transformation behavior of NiTi doped with Cu during loading using classical molecular dynamics S. Aich, A. Behera and S. Ghosh Department.
Eigenvalues, Zeros and Poles
Stability and instability in nonlinear dynamical systems
Linear Inequalities Solution to inequality in one variable – interval on number line Solution to inequality in two variables – points in the plane Graph.
Recursive Identification of Switched ARX Hybrid Models: Exponential Convergence and Persistence of Excitation René Vidal National ICT Australia Brian D.O.Anderson.
Outline of the method to find an approximate region of electrons that enter the detector in a quadrupole field after kicked by a point bunch K. Kanazawa.
CSE 245: Computer Aided Circuit Simulation and Verification
Sec 21: Analysis of the Euler Method
§1-3 Solution of a Dynamical Equation
Lecture #10 Switched systems
Comparison Functions Islamic University of Gaza Faculty of Engineering
Department of Electrical and Computer Engineering
Visco-plastic self-consistent modeling of high strain rate and
Ildikó Perjési-Hámori Department of Mathematics
A Dynamic System Analysis of Simultaneous Recurrent Neural Network
ECE 576 POWER SYSTEM DYNAMICS AND STABILITY
ECE 576 POWER SYSTEM DYNAMICS AND STABILITY
2.2 Fixed-Point Iteration
Modeling and Simulation: Exploring Dynamic System Behaviour
Generalized Finite Element Methods
Presentation transcript:

1 A Dynamic Model for Magnetostrictive Hysteresis Xiaobo Tan, John S. Baras, and P. S. Krishnaprasad Institute for Systems Research and Department of Electrical and Computer Engineering University of Maryland, College Park, MD American Control Conference June 4, 2003

2 Outline  Introduction  The Preisach Operator  A Dynamic Model for Magnetostrictive Hysteresis  Analysis of the Dynamic Model  Well-posedness  System-theoretic properties  Existence of periodic solutions  Numerical integration methods  Conclusions

3  Magnetostriction: coupling between the magnetic properties and the mechanical properties. Magnetostrictive Actuators Magnetostrictive Actuators A Terfenol-D actuator manufactured by Etrema Inc.

4 Rate-dependent magnetostrictive hysteresis.

5 The Preisach Operator The Preisach Operator An elementary Preisach hysteron. The Preisach operator.

6 The Preisach Operator Memory curve in the Preisach plane   P-(t)P-(t) P+(t)P+(t) == 00 00 The Preisach operator is  Rate-independent;  Piecewise monotone increasing if the Preisach measure is nonnegative.

7 Model structure of a magnetostrictive actuator (Venkataraman, 1999). The Dynamic Hysteresis Model The Dynamic Hysteresis Model W (·) 2 G(s) I MM2M2 y (Tan & Baras, CDC 2002)

8 Model validation. Solid line: experimental measurement; dashed line: numerical prediction based on the dynamic model (Tan & Baras, CDC 2002).

9 Well-posedness of the Model Well-posedness of the Model Theorem: If the Preisach measure is nonnegative and nonsingular, and I(·) is piecewise continuous, then for any initial condition  0, for any T > 0, there exists a unique pair {H (·), M (·)}  C([0,T])  C([0,T]) satisfying the above equation almost everywhere. The solution depends continuously on the initial conditions and the parameters. Proof. Using the Euler polygon method.

10 An Alternative Perspective An Alternative Perspective

11 Stability of Equilibria Stability of Equilibria Proposition: If the Preisach measure is nonnegative, and nonsingular with a piecewise continuous density. Then every equilibrium is stable but not asymptotically stable.

12 Other System-Theoretic Properties Other System-Theoretic Properties We have studied  Input-output stability;  Reachability and approximate reachability;  Observability.

13 Existence of Periodic Solutions Existence of Periodic Solutions Theorem: If the Preisach measure is nonnegative and nonsingular, then for any T-periodic I(·), there exists an initial condition ψ 0, such that the solution is also T- periodic. Proof. Define a map Ξ T on the space of memory curves. Then show that Ξ T has a fixed point using the Schauder fixed point theorem.

14 Numerical Integration Methods Numerical Integration Methods

15 Comparison of the implicit Euler scheme and the explicit Euler scheme.

16 Conclusions Conclusions In this talk, we have analyzed a special dynamic hysteresis model:  Well-posedness  System-theoretic properties  Existence of periodic solutions  Numerical simulation schemes

17 Reachability and Observability Reachability and Observability Proposition: If the Preisach measure is nonnegative and nonsingular, the state space for ($) is not reachable, but approximately reachable. Proposition: If the Preisach measure is nonnegative and nonsingular, the system ($) is observable if and only if the Preisach measure of any connected set of nonzero Lebesgue measure is positive.

18 Input-Output Stability Input-Output Stability