Muutke küpsiste eelistusi

Parameter Estimation of Permanent Magnet Synchronous Machines [Kõva köide]

(University of Sheffield, UK), (Hunan University, China), (University of Sheffield, UK)

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.

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 Rotor Flux Linkage Estimation Based on Current Injection under Constant Torque/Speed Control

4.3.1 Designed parameter estimation scheme

4.3.2 Error analysis and experimental validation

4.4 Summary

References

CHAPTER 5 ONLINE PARAMETER ESTIMATION BASED ON POSITION OFFSET INJECTION

5.1 Introduction

5.2 Phasor Analysis of Rotor Position Offset in PMSMs

5.3 Position Offset-based Estimation with under Constant Torque/Speed Control

5.3.1 Designed estimation method

5.3.2 Experimental and FEA results

5.4 Position Offset-based Estimation with under Constant Torque/Variable Speed Control

5.4.1 Designed estimation method

5.4.2 Experimental and FEA results

5.5 Position Offset-based Estimation with id?0 under Constant Torque/Speed Control

5.5.1 Designed estimation method

5.5.2 Experimental and FEA results

5.6 Position Offset-based Estimation with & id?0 under Constant and Variable Speed Control

5.6.1 Designed estimation method

5.6.2 Experimental and FEA results

5.7 Analysis of Amplitude of Position Offset Injection

5.8 Summary

References

CHAPTER 6 ONLINE PARAMETER ESTIMATION UNDER VARIABLE SPEED CONTROL

6.1 Introduction

6.2 Estimation of Stator Resistance, Inductances, and Rotor PM Flux Linkage

6.2.1 Identifiability analysis and influence of VSI nonlinearity

6.2.2 Improved estimation scheme

6.2.3 Experimental results

6.3 Estimation of dq-axis Flux Linkage Maps with Uncertainties of Circuit Resistance and Inverter Nonlinearity

6.3.1 Modelling of penalty functions for identification of flux linkages

6.3.2 Minimisation of penalty functions

6.3.3 Experimental results

6.4 Summary

References

CHAPTER 7 ESTIMATION OF MAGNETIC SATURATION AND CROSS-COUPLING BASED ON HIGH-FREQUENCY SIGNAL INJECTION

7.1 Introduction

7.2 Magnetic Saturation Modelling and Time Delay Effect in High-frequency Signal Injection

7.2.1 Fundamental mathematical model

7.2.2 Time delay effect in high-frequency signal injection methods

7.3 High-frequency Rotating Voltage Injection Method

7.4 High-frequency Pulsating Voltage Injection Method

7.4.1 With aid of position estimator

7.4.2 Without aid of position estimator

7.5 Combined High-frequency Rotating and Pulsating Voltage Injection Method

7.6 Experimental Results

7.6.1 Evaluation of estimation performance

7.6.2 Comparison with FE results

7.6.3 Selection of injected voltage

7.7 Summary

References

CHAPTER 8 OFFLINE AND MULTI-STEP PARAMETER ESTIMATION METHODS

8.1 Introduction

8.2 Parameter Estimation at Standstill by Square Voltage Injection

8.3 Parameter Estimation at Standstill by High-frequency Current Injection

8.3.1 Estimation based on current variations

8.3.2 Estimation based on zero-crossing detection

8.4 Multi-step Parameter Estimation

8.4.1 Two-step estimation method

8.4.2 Three-step estimation method

8.5 Summary

References

CHAPTER 9 ESTIMATION OF MECHANICAL PARAMETERS

9.1 Introduction

9.2 Mechanical Parameter Estimation Methods

9.2.1 Acceleration/deceleration-based method

9.2.2 MRAS observer-based method

9.2.3 Fundamental motion equation-based estimation method

9.2.4 Critical issue of torque prediction

9.3 Experimental Results

9.3.1 Comparison between scheme I and sScheme III

9.3.2 Comparison between scheme II and scheme III

9.3.3 Influence of variation of rotor PM flux linkage

9.3.4 Sensitivity analysis of sinusoidal perturbation signal

9.4 Design of PI Speed Regulator

9.5 Summary

References

CHAPTER 10 MODERN CONTROL AND OPTIMISATION THEORY BASED PARAMETER ESTIMATION ALGORITHMS

10.1 Introduction

10.2 Designed Parameter Estimation Scheme

10.3 Recursive Least Squares (RLS)

10.3.1 Basic principle

10.3.2 Application to parameter estimation for PMSMs

10.4 Kalman Filter (KF)

10.4.1 Basic principle

10.4.2 Application to parameter estimation for PMSMs

10.5 Model Reference Adaptive System (MRAS)

10.5.1 Basic principle

10.5.2 Application to parameter estimation for PMSMs

10.6 Adaline Neural Network (ANN)

10.6.1 Basic principle

10.6.2 Application to parameter estimation for PMSMs

10.7 Gradient-based Methods

10.7.1 Basic principle

10.7.2 Application to parameter estimation for PMSMs

10.8 Particle Swarm Optimisation (PSO)

10.8.1 Basic principle

10.8.2 Application to parameter estimation for PMSMs

10.9 Genetic Algorithm (GA)

10.9.1 Basic principle

10.9.2 Application to parameter estimation for PMSMs

10.10 Summary

References

CHAPTER 11 APPLICATIONS OF PARAMETER ESTIMATION

11.1 Introduction

11.2 Improvement in Control Performance

11.2.1 Design of PI regulators for field-oriented control

11.2.2 Determination of MTPA current trajectory

11.3 Improvement in Sensorless Control

11.3.1 Improvement in sensorless control performance

11.3.2 Application of parameter estimation under sensorless control

11.4 Precise Torque Estimation

11.4.1 HF square wave voltage injection considering cross-coupling effect

11.4.2 Torque estimation based on estimated HF inductances

11.5 Thermal Condition Monitoring

11.6 Fault Diagnosis

11.6.1 Interturn short-circuit fault

11.6.2 Demagnetisation fault

11.7 Summary

References

APPENDIX A FINITE ELEMENT CALCULATION OF WINDING INDUCTANCES

APPENDIX B SPECIFICATIONS OF PROTOTYPE MACHINES AND EXPERIMENTAL PLATFORMS

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.