Model predictive control of high power converters and industrial drives /

In this original book on model predictive control (MPC) for power electronics, the focus is put on high-power applications with multilevel converters operating at switching frequencies well below 1 kHz, such as medium-voltage drives and modular multi-level converters. Consisting of two main parts, t...

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Bibliographic Details
Online Access: Full text (MCPHS users only)
Main Author: Geyer, Tobias, 1975- (Author)
Format: Electronic eBook
Language:English
Published: Chichester, West Sussex, UK : John Wiley & Sons, Inc., 2016
Edition:First edition.
Subjects:
Local Note:ProQuest Ebook Central
Table of Contents:
  • Cover; Title Page; Copyright; Dedication; Contents; Preface; Acknowledgments; List of Abbreviations; About the Companion Website; Part I Introduction; Chapter 1 Introduction; 1.1 Industrial Power Electronics; 1.2 Control and Modulation Schemes; 1.3 Model Predictive Control; 1.4 Research Vision and Motivation; 1.5 Main Results; 1.6 Summary of this Book; 1.7 Prerequisites; References; Chapter 2 Industrial Power Electronics; 2.1 Preliminaries; 2.2 Induction Machines; 2.3 Power Semiconductor Devices; 2.4 Multilevel Voltage Source Inverters; 2.5 Case Studies; References.
  • Chapter 3 Classic Control and Modulation Schemes3.1 Requirements of Control and Modulation Schemes; 3.2 Structure of Control and Modulation Schemes; 3.3 Carrier-Based Pulse Width Modulation; 3.4 Optimized Pulse Patterns; 3.5 Performance Trade-Off for Pulse Width Modulation; 3.6 Control Schemes for Induction Machine Drives; Appendix 3.A: Harmonic Analysis of Single-Phase Optimized Pulse Patterns; Appendix 3.B: Mathematical Optimization; References; Part II Direct Model Predictive Control with Reference Tracking; Chapter 4 Predictive Control with Short Horizons.
  • 4.1 Predictive Current Control of a Single-Phase RL Load4.2 Predictive Current Control of a Three-Phase Induction Machine; 4.3 Predictive Torque Control of a Three-Phase Induction Machine; 4.4 Summary; References; Chapter 5 Predictive Control with Long Horizons; 5.1 Preliminaries; 5.2 Integer Quadratic Programming Formulation; 5.3 An Efficient Method for Solving the Optimization Problem; 5.4 Computational Burden; Appendix 5.A: State-Space Model; Appendix 5.B: Derivation of the Cost Function in Vector Form; References; Chapter 6 Performance Evaluation of Predictive Control with Long Horizons.
  • 6.1 Performance Evaluation for the NPC Inverter Drive System6.2 Suboptimal MPC via Direct Rounding; 6.3 Performance Evaluation for the NPC Inverter Drive System with an LC Filter; 6.4 Summary and Discussion; Appendix 6.A: State-Space Model; Appendix 6.B: Computation of the Output Reference Vector; References; Part III Direct Model Predictive Control with Bounds; Chapter 7 Model Predictive Direct Torque Control; 7.1 Introduction; 7.2 Preliminaries; 7.3 Control Problem Formulation; 7.4 Model Predictive Direct Torque Control; 7.5 Extension Methods; 7.6 Summary and Discussion.
  • Appendix 7.A: Controller Model of the NPC Inverter Drive SystemReferences; Chapter 8 Performance Evaluation of Model Predictive Direct Torque Control; 8.1 Performance Evaluation for the NPC Inverter Drive System; 8.2 Performance Evaluation for the ANPC Inverter Drive System; 8.3 Summary and Discussion; Appendix 8.A: Controller Model of the ANPC Inverter Drive System; References; Chapter 9 Analysis and Feasibility of Model Predictive Direct Torque Control; 9.1 Target Set; 9.2 The State-Feedback Control Law; 9.3 Analysis of the Deadlock Phenomena; 9.4 Deadlock Resolution; 9.5 Deadlock Avoidance.