Parameter Estimation of Permanent Magnet Synchronous Machines

1. Auflage 2025
ISBN: 978-1-394-28042-1
Verlag: Wiley

Buch, Englisch, 320 Seiten

Comprehensive reference delivering basic principles and state-of-the-art parameter estimation techniques for permanent magnet synchronous machines (PMSMs)

Parameter Estimation of Permanent Magnet Synchronous Machines reviews estimation techniques of the parameters of PMSMs, introducing basic models and techniques, as well as issues and solutions in parameter estimation challenges, including rank deficiency, inverter nonlinearity, and magnetic saturation. This book is supported by theories, experiments, and simulation examples for each technique covered.

Topics explored in this book include: - Electrical and mechanical parameter estimation techniques, including those based on current/voltage injection and position offset injection, under constant or variable speed and load for sensored or sensorless controlled PMSMs, accounting for magnetic saturation, cross-coupling, inverter nonlinearity, temperature effects, and more
- Recursive least squares, the Kalman filter, model reference adaptive systems, Adaline neural networks, gradient-based methods, particle swarm optimization, and genetic algorithms
- Applications of parameter estimation techniques for improvement of control performance, sensorless control, thermal condition monitoring, and fault diagnosis

Parameter Estimation of Permanent Magnet Synchronous Machines, is an essential reference for professionals working on the control and design of electrical machines, researchers studying electric vehicles, wind power generators, aerospace, industrial drives, automation systems, robots, and domestic appliances, as well as advanced undergraduate and graduate students in related programs of study.

Autoren/Hrsg.

Zhu, Zi Qiang

Liu, Kan

Liang, Dawei

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Leistungselektronik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

AUTHORS

PREFACE

LIST OF ABBREVIATIONS

LIST OF SYMBOLS

CHAPTER 1 GENERAL INTRODUCTION

1.1 Introduction

1.2 Permanent Magnet Machines

1.3 Basic Equations and Machine Parameters

1.3.1 Fundamental mathematical model for PMSMs

1.3.2 Mathematical model considering magnetic saturation, thermal effect, and iron loss

1.4 Drives and Control Strategies

1.4.1 Drive system of PMSM

1.4.2 Space vector pulse width modulation

1.5 Outline of Parameter Estimation Techniques

1.5.1 Offline parameter estimation

1.5.2 Online parameter estimation

1.6 Scope of This Book

References

CHAPTER 2 CRITICAL ISSUES WITH ONLINE PARAMETER ESTIMATION

2.1 Rank-deficient Problem

2.1.1 Rank-deficient issue

2.1.2 Experimental analysis and results

2.2 Nonlinearity of Voltage Source Inverter

2.2.1 Modelling of VSI nonlinearity

2.2.2 VSI nonlinearity estimation and compensation

2.2.3 Influences of VSI nonlinearity on parameter estimation

2.3 Ill-conditioned Problem

2.4 Summary

References

CHAPTER 3 ONLINE ESTIMATION OF ROTOR FLUX LINKAGE WITH AID OF THERMOCOUPLES IN STATOR WINDINGS

3.1 Introduction

3.2 Online Estimation of Rotor flux Linkage with Aid of Thermocouples in Stator Windings

3.2.1 Online estimation of rotor flux linkage

3.2.2 Thermal condition monitoring of rotor PM

3.3 Summary

References

CHAPTER 4 ONLINE PARAMETER ESTIMATION BASED ON CURRENT INJECTIONS

4.1 Introduction

4.2 Multi-parameter Estimation Based on Current Injection and Error Analysis

4.2.1 Designed parameter estimation scheme

4.2.2 Error analysis

4.2.3 Experimental results

4.3 Winding Resistance and R

Über Autor(innen)

Zi-Qiang Zhu is a Fellow of the Royal Academy of Engineering and the Head of the Electrical Machines and Power Research Group at the University of Sheffield, UK.

Kan Liu is the Assistant Dean of the College of Mechanical and Vehicle Engineering at Hunan University, China.

Dawei Liang is a Postdoctoral Research Associate with the University of Sheffield, UK.