An advanced introduction to the simulation and hardware
implementation of BLDC motor drives
A thorough reference on the simulation and hardware
implementation of BLDC motor drives, this book covers recent
advances in the control of BLDC motor drives, including intelligent
control, sensorless control, torque ripple reduction and hardware
implementation. With the guidance of the expert author team,
readers will understand the principle, modelling, design and
control of BLDC motor drives. The advanced control methods and new
achievements of BLDC motor drives, of interest to more advanced
readers, are also presented. Focuses on the control of PM brushless
DC motors, giving readers the foundations to the topic that they
can build on through more advanced reading
* Systematically guides readers through the subject, introducing
basic operational principles before moving on to advanced control
algorithms and implementations
* Covers special issues, such as sensorless control, intelligent
control, torque ripple reduction and hardware implementation, which
also have applications to other types of motors
* Includes presentation files with lecture notes and Matlab 7
coding on a companion website for the book
Autorentext
Chang-liang Xia, Tianjin University, China
Chang-liang Xia received the Ph.D. degree in electrical engineering from Zhejiang University, China, in 1995. He is currently a Professor in the School of Electrical Engineering and Automation, Tianjin University. In 2008, he became Yangtze Fund Scholar Distinguished Professor and is currently supported by National Science Fund for Distinguished Young Scholars. Professor Xia has been engaged in the design, modelling, control and application of BLDC motors for more than 10 years. In this field, he has published more than 50 papers in refereed journals and conferences.
His book, Brushless DC motor control systems, was published in Chinese by Science Press in 2009 and the material from it has been used at Tianjin University for the Masters course "Electrical motor drives and Power Electronics" since 2002 as well as a textbook for the graduate course Intelligent control of Electrical machines since 2009.
Zusammenfassung
An advanced introduction to the simulation and hardware implementation of BLDC motor drives
A thorough reference on the simulation and hardware implementation of BLDC motor drives, this book covers recent advances in the control of BLDC motor drives, including intelligent control, sensorless control, torque ripple reduction and hardware implementation. With the guidance of the expert author team, readers will understand the principle, modelling, design and control of BLDC motor drives. The advanced control methods and new achievements of BLDC motor drives, of interest to more advanced readers, are also presented. Focuses on the control of PM brushless DC motors, giving readers the foundations to the topic that they can build on through more advanced reading
- Systematically guides readers through the subject, introducing basic operational principles before moving on to advanced control algorithms and implementations
- Covers special issues, such as sensorless control, intelligent control, torque ripple reduction and hardware implementation, which also have applications to other types of motors
- Includes presentation files with lecture notes and Matlab 7 coding on a companion website for the book
Inhalt
About the Author xi
Preface xiii
List of Nomenclature xv
1 Introduction 1
1.1 History of BLDC Motors 1
1.2 Applications for BLDC Motors 3
1.2.1 Automotive BLDC Motor 4
1.2.2 BLDC Motor in Aerospace 5
1.2.3 BLDC Motor in Household Appliances 6
1.2.4 BLDC Motor in Office Automation 7
1.2.5 BLDC Motor in Other Industries 8
1.3 Advances in BLDC Motor Drives 8
1.3.1 Position-Sensorless Control 9
1.3.2 Torque-Ripple Reduction 10
1.3.3 Hardware Implementation 12
1.4 Future of BLDC Motor Drives 15
1.4.1 Impacts of Power Electronics and Microprocessors on BLDC Motor 15
1.4.2 Permanent Magnet and Design Considerations 17
1.4.3 New Types of BLDC Motor 18
1.4.4 Applications of Advanced Control Strategies 20
1.5 Other Kinds of PM Motors 20
Questions 21
References 21
2 Mathematical Model and Characteristics Analysis of the BLDC Motor 25
2.1 Structure and Drive Modes 25
2.1.1 Basic Structure 25
2.1.2 General Design Method 28
2.1.3 Drive Modes 28
2.2 Mathematical Model 33
2.2.1 Differential Equations 33
2.2.2 Transfer Functions 40
2.2.3 State-Space Equations 45
2.3 Characteristics Analysis 47
2.3.1 Starting Characteristics 47
2.3.2 Steady-State Operation 48
2.3.3 Dynamic Characteristics 52
2.3.4 Load Matching 56
2.3.5 Commutation Transients 58
Questions 62
References 62
3 Simulation for BLDC Motor Drives 63
3.1 S-Function Simulation 63
3.2 Graphical Simulation 69
3.2.1 Simulation of Double Closed-Loop Speed-Control System 72
3.2.2 Advanced Conduction of Phase Current for BLDC Motor Control 76
Questions 82
References 82
4 Speed Control for BLDC Motor Drives 83
4.1 Introduction 83
4.1.1 PID Control Principle 83
4.1.2 Antiwindup Controller 86
4.1.3 Intelligent Controller 88
4.1.4 Representations of Uncertainty 89
4.2 Advanced Speed Control for BLDC Motor Drives 90
4.2.1 Fuzzy Control 90
4.2.2 Neural-Network Control 94
4.2.3 Genetic Algorithm Optimization Control 102
4.2.4 Sliding-Mode Variable Structure Control 107
4.2.5 Grey Control 113
4.2.6 Other Intelligent Control Strategies 117
4.3 Influences of Machine Parameters on Dynamic Response and Speed Range 119
4.3.1 Armature Resistance 119
4.3.2 Armature Inductance 120
4.3.3 Rotor Inertia 122
4.4 Practical Issues on Implementation 123
4.4.1 Type of Power Switches and Circuit Forms 123
4.4.2 Detection of Rotor Position 123
4.4.3 Braking Circuit and Protection Circuit 123
4.4.4 Antidisturbance Measures of Software and Hardware 124
Questions 124
References 124
5 Analysis and Reduction of Torque Ripple 127
5.1 Cogging Torque-Ripple-Minimization Techniques Analysis 127
5.1.1 Skewing Slots and Magnets 129
5.1.2 Embedding Magnetic Slot Wedges 130
5.1.3 Auxiliary Slots and Teeth 130
5.1.4 Fractional Number of Slots Per Pole 130
5.2 Torque-Ripple Reduction with Time-Sharing Commutation Strategy 131
5.2.1 Time-Sharing Commutation Strategy 131
5.2.2 Analysis of Time-Sharing Commutation Strategy 140
5.2.3 Optimal Time-Sharing Commutation 144
5.3 Torque-Ripple Reduction with Active Disturbance Rejection Control 146
5.3.1 Principles of ADRC 146
5.3.2 ADRC Controller Design 147
5.3.3 Experimental Results 150
5.4 Torque-Ripple Reduction with BP Neutral Network 152
5.4.1 BP Neural Network 152
5.4.2 Self-Tuning Regulator 155
5.4.3 Experimental Result...