Systems with Hysteresis: Analysis, Identification and Control Using the Bouc-Wen Model

Systems with Hysteresis: Analysis, Identification and Control Using the Bouc-Wen Model

By: Faycal Ikhouane (author), Jose Rodellar (author)Hardback

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Hysterisis is a system property that is fundamental to a range of engineering applications as the components of systems with hysterisis are able to react differently to different forces applied to them. Control theory is used to model these complex systems and cause them to behave in the desired manner; the Bouc-Wen model is a well-known semi-physical model that is used extensively to describe the hysterisis of systems in the areas of smart structures and civil engineering. The Bouc-Wen model for system hysterisis has increased in popularity due to its capability of capturing in an analytical form a range of shapes of hysteretic cycles that match the behaviour of a wide class of hysteretic systems. "Systems with Hysterisis: Analysis, Identification and Control using the Bouc-Wen Model" deals with the analysis, identification and control of these systems, and offers a comprehensive and self-contained framework for the study of the Bouc-Wen model.* Includes the latest techniques for modelling smart structures and materials* Provides a rigorous mathematical treatment of the subject along with practical comments, numerical solutions and a case study of magentorheological (MR) dampers.* Begins by analysing the compatibility of the Bouc-Wen model with the laws of physics, and continues to cover the relationship between the model parameters and hysterisis loop, identification of the model parameters and control of systems that include a hysteretic part described by the Bouc-Wen model.* Includes case studies covering the identification and control of smart material transducers for use in automotive, aerospace and structural control Systems with Hysterisis: Analysis, Identification and Control using the Bouc-Wen Model offers an invaluable source of ideas, concepts and insights for engineers, researchers, lecturers and senior/ postgraduate students involved in the research, design and development of smart structures and related areas within civil and mechanical engineering. It will also be of interest to readers involved in the wider disciplines of electrical & control engineering, applied mathematics, applied physics and material science.

About Author

Faycal Ikhouane, Universitat Politecnica de Catalunya, Departament de Matematica Aplicada III, Escola Universitaria d'Enginyeria Tecnica Industrial de Barcelona. C/ Comte d'Urgell, 187, 08036, Barcelona, Spain. Faycal Ikhouane currently holds both a research and teaching post with the Control, Dynamics and Applications group at the Technical University of Catalunya, Spain. He has been in this job since 2002, after having been a visiting scholar at the University of California in Santa Barbara, and a lecturer and associate researcher with the Ecole Nationale d'Industrie Minerale and the Ecole Mohammadia d'Ingenieurs in Morocco. He also worked in industry as a control engineer at the Societe des Ciments d'Agadir, Morocco. Dr Ikhouane is now conducting research on modelling, identification and control of mechanical systems and smart structures with nonlinearities such as hysteresis and friction, and is helping to set up a new research laboratory on these topics. He has co-authored around 10 journal papers and 20 papers and presentations at major conferences. Jose Rodellar, Universitat Politecnica de Catalunya, Departament de Matematica Aplicada III, Escola Tecnica Superior d'Enginyers de Camins, Canalsi Ports, Campus Nord UPC, C2, 08034, Barcelona, Spain. Jose Rodellar is currently a Professor in the School of Civil Engineering at the Technical University of Catalunya, Spain. He has been at the university since 1976, and is now Director of the Control, Dynamics and Applications group, which carries out theoretical and applied research on modelling and control, with applications in structural control and smart structures. Previous to this, he has been visiting professor at the Department of Civil Engineering, at the State University of New York, Buffalo (USA), and visiting scholar at the Department of Mechanical Engineering, University of California, Berkeley. He is a member of the Board of Directors of the International Association for Structural Control and Monitoring, has co-authored and edited five books, including Adaptive Predictive Control: From the Concepts to Plant Optimization (Prentice Hall, 1995), Smart Structures and NATO Workshop (Kluwer, 1998), and co-authored around 160 journal and conference papers.


Preface. List of Figures. List of Tables. 1. Introduction 1.1 Objective and contents of the book 1.2 The Bouc-Wen model: origin and literature review 2. Physical consistency of the Bouc-Wen model 2.1 Introduction 2.2 BIBO stability of the Bouc-Wen model 2.2.1 The model 2.2.2 Problem statement 2.2.3 Classi ~ cation of the BIBO stable Bouc-Wen models 2.2.4 Practical remarks 2.3 Free motion of a hysteretic structural system 2.3.1 Problem statement 2.3.2 Asymptotic trajectories 2.3.3 Practical remarks 2.4 Passivity of the Bouc-Wen model 2.5 Limit cases 2.5.1 The limit case n = 1 2.5.2 The limit case (r) = 1 2.5.3 The limit case (r) = 0 2.5.4 The limit case ~ + - = 0 2.6 Conclusion 3 Forced limit cycle characterization of the Bouc-Wen model 3.1 Introduction 3.2 Problem statement 3.2.1 The class of inputs 3.2.2 Problem statement 3.3 The normalized Bouc-Wen model 3.4 Instrumental functions 3.5 Characterization of the asymptotic behavior of the hysteretic output 3.5.1 Technical Lemmas 3.5.2 Analytic description of the forced limit cycles for the Bouc-Wen model 3.6 Simulation example 3.7 Conclusion 4 Variation of the hysteresis loop with the Bouc-Wen model parameters 4.1 Introduction 4.2 Background results and methodology of the analysis 4.2.1 Background results 4.2.2 Methodology of the analysis 4.3 Maximal value of the hysteretic output 4.3.1 Variation with respect to 4.3.2 Variation with respect to 4.3.3 Variation with respect to n 4.3.4 Summary of the obtained results 4.4 Variation of the zero of the hysteretic output 4.4.1 Variation with respect to 4.4.2 Variation with respect to 4.4.3 Variation with respect to n 4.4.4 Summary of the obtained results 4.5 Variation of the hysteretic output with the Bouc-Wen model parameters 4.5.1 Variation with respect to 4.5.2 Variation with respect to 4.5.3 Variation with respect to n 4.5.4 Summary of the obtained results 4.6 The four regions of the Bouc-Wen model 4.6.1 The linear region Rl 4.6.2 The plastic region Rp 4.6.3 The transition regions Rt and Rs 4.7 Interpretation of the normalized Bouc-Wen model parameters 4.7.1 The parameters and 4.7.2 The parameter 4.7.3 The parameter n 4.8 Conclusion 5 Robust identification of the Bouc-Wen model parameters 5.1 Introduction 5.2 Parameter identi ~ cation for the Bouc-Wen model 5.2.1 Class of inputs 5.2.2 Identi ~ cation methodology 5.2.3 Robustness of the identi ~ cation method 5.2.4 Numerical simulation example 5.3 Modeling and identi ~ cation of a magnetorheological damper 5.3.1 Some insights into the viscous + Bouc-Wen model for shear mode MR dampers 5.3.2 Alternatives to the viscous + Bouc-Wen model for shear mode MR dampers 5.4 Identi ~ cation methodology for the viscous + Dahl model . . 5.4.1 Numerical simulations 5.5 Conclusion 6 Control of a system with a Bouc-Wen hysteresis 6.1 Introduction and problem statement 6.2 Control design and stability analysis 6.3 Numerical simulation 6.4 Conclusion A Mathematical background A.1 Existence and uniqueness of solutions A.2 Concepts of stability A.3 Passivity and absolute stability A.3.1 Passivity in mechanical systems A.3.2 Positive realness A.3.3 Sector functions A.3.4 Absolute stability A.4 Input-output properties References. Index.

Product Details

  • ISBN13: 9780470032367
  • Format: Hardback
  • Number Of Pages: 222
  • ID: 9780470032367
  • weight: 438
  • ISBN10: 0470032367

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