06656nam 22006855 450 991048435970332120251113194955.03-030-67723-010.1007/978-3-030-67723-7(CKB)4100000011763221(MiAaPQ)EBC6478647(PPN)253860482(Au-PeEL)EBL6478647(OCoLC)1237865098(DE-He213)978-3-030-67723-7(EXLCZ)99410000001176322120210213d2021 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierIntelligent Backstepping Control for the Alternating-Current Drive Systems /by Jinpeng Yu, Peng Shi, Jiapeng Liu1st ed. 2021.Cham :Springer International Publishing :Imprint: Springer,2021.1 online resource (233 pages)Studies in Systems, Decision and Control,2198-4190 ;3493-030-67722-2 Intro -- Preface -- Acknowledgements -- Contents -- Notations and Acronyms -- List of Figures -- 1 Introduction -- 1.1 Dynamic Mathematical Model for IM -- 1.2 Dynamic Mathematical Model for PMSM -- 1.3 Outline of the Book -- References -- Part I Induction Motor -- 2 Position Tracking Control of IM via Adaptive Fuzzy Backstepping -- 2.1 Introduction -- 2.2 Mathematical Model of the IM Drive System and Preliminaries -- 2.3 Adaptive Fuzzy Controller Design with Backstepping -- 2.4 Simulation Results -- 2.4.1 Classical Backstepping Design -- 2.4.2 Simulation -- 2.5 Conclusion -- References -- 3 NNs-Based Command Filtered Control for IM with Input Saturation -- 3.1 Introduction -- 3.2 Mathematical Model of IM Drive System -- 3.3 Command-Filtered Adaptive NNs Control Design -- 3.4 Simulation Results -- 3.5 Conclusion -- References -- 4 NNs-Based Discrete-Time Command Filtered Adaptive Control for IM -- 4.1 Introduction -- 4.2 Mathematical Model of the IM Drive System -- 4.3 Discrete-Time Command Filtered Neural Networks Controller Design -- 4.4 Simulation Results -- 4.5 Conclusion -- References -- 5 Adaptive Fuzzy Control for IM Stochastic Nonlinear Systems Based on CFC -- 5.1 Introduction -- 5.2 The IM Drive Systems Mathematical Model -- 5.3 Adaptive Fuzzy Control Based on CFC for IM Stochastic ... -- 5.4 Simulation Results -- 5.5 Conclusion -- References -- 6 Adaptive Fuzzy Dynamic Surface Control for IM with Iron Losses -- 6.1 Introduction -- 6.2 Mathematical Model and Preliminaries -- 6.3 Adaptive Fuzzy DSC Design with Backstepping -- 6.4 A Comparison with the Traditional Adaptive Fuzzy Backstepping Design -- 6.5 Simulation -- 6.6 Conclusion -- References -- Part II Permanent Magnet Synchronous Motor (PMSM) -- 7 Adaptive Fuzzy Tracking Control for a PMSM via Backstepping Approach -- 7.1 Introduction.7.2 Mathematical Model of the PMSM Drive System and Preliminaries -- 7.3 Adaptive Fuzzy Controller with the Backstepping Technique -- 7.4 A Comparison with the Conventional Backstepping Design -- 7.4.1 Conventional Backstepping Design -- 7.4.2 Simulation -- 7.5 Conclusion -- References -- 8 Adaptive Fuzzy Backstepping Position Tracking Control for PMSM -- 8.1 Introduction -- 8.2 Mathematical Model of the PMSM Drive System and Preliminaries -- 8.3 Adaptive Fuzzy Controller with the Backstepping Technique -- 8.4 A Comparison with the Conventional Backstepping Design -- 8.4.1 Conventional Backstepping Design -- 8.4.2 Simulation -- 8.5 Conclusion -- References -- 9 Neural Networks-Based Adaptive DSC for PMSM -- 9.1 Introduction -- 9.2 Mathematical Model of the PMSM Drive System and Preliminaries -- 9.3 Adaptive Dynamic Surface Control for PMSM -- 9.4 A Comparison with the Classical Backstepping Design -- 9.4.1 Classical Backstepping Design -- 9.4.2 Simulation Results -- 9.5 Conclusion -- References -- 10 Discrete-Time Adaptive Position Tracking Control for IPMSM -- 10.1 Introduction -- 10.2 Mathematical Model of the IPMSM Drive System and Preliminaries -- 10.3 Discrete-Time Fuzzy Control for IPMSM -- 10.4 Simulation Results -- 10.5 Conclusion -- References -- 11 Adaptive Fuzzy Tracking Control for the Chaotic PMSM Drive System -- 11.1 Introduction -- 11.2 Mathematical Model of Chaotic PMSM Drive System and Preliminaries -- 11.3 Adaptive Fuzzy Controller with the Backstepping Technique -- 11.4 Simulation Results -- 11.4.1 Classical Backstepping Design -- 11.4.2 Simulation -- 11.5 Conclusion -- References -- 12 Fuzzy-Approximation-Based Adaptive Control of the Chaotic PMSM -- 12.1 Introduction -- 12.2 Mathematical Model of Chaotic PMSM Drive System and Preliminaries -- 12.3 Adaptive Fuzzy Controller with the Backstepping Technique.12.4 Simulation Results -- 12.4.1 Classical Backstepping Design -- 12.4.2 Simulation -- 12.5 Conclusion -- References -- Part III Summary -- 13 Conclusion and Further Work -- 13.1 Conclusion -- 13.2 Further Work.This book focuses on the intelligent control design for both the induction motor (IM) and the permanent magnet synchronous motor (PMSM). Compared with traditional control schemes, such as the field-oriented control (FOC) and the direct torque control (DTC), the intelligent controllers designed in this book could overcome the influence of parameter uncertainty and load torque disturbance. This book is a research monograph, which provides valuable reference material for researchers who wish to explore the area of AC motor. In addition, the main contents of the book are also suitable for a one-semester graduate course. .Studies in Systems, Decision and Control,2198-4190 ;349Automatic controlPower electronicsComputational intelligenceElectric machineryControl and Systems TheoryPower ElectronicsComputational IntelligenceElectrical MachinesAutomatic control.Power electronics.Computational intelligence.Electric machinery.Control and Systems Theory.Power Electronics.Computational Intelligence.Electrical Machines.621.46Yu Jinpeng1228010Shi Peng1958-Liu JiapengMiAaPQMiAaPQMiAaPQBOOK9910484359703321Intelligent backstepping control for the alternating-current drive systems2851010UNINA