Neural and Fuzzy Logic Control of Drives and Power Systems (eBook)

Marcian Cirstea, Andrei Dinu, Jeen Ghee Khor, Malcolm McCormick (Autoren)

eBook Download: PDF

2002 | 1. Auflage
399 Seiten
Elsevier Science (Verlag)
978-0-08-049736-5 (ISBN)

Infos

The authors guide readers quickly and concisely through the complex topics of neural networks, fuzzy logic, mathematical modelling of electrical machines, power systems control and VHDL design. Unlike the academic monographs that have previously been published on each of these subjects, this book combines them and is based round case studies of systems analysis, control strategies, design, simulation and implementation. The result is a guide to applied control systems design that will appeal equally to students and professional design engineers. The book can also be used as a unique VHDL design aid, based on real-world power engineering applications.

*Introduces cutting-edge control systems to a wide readership of engineers and students
*The first book on neuro-fuzzy control systems to take a practical, applications-based approach, backed up with worked examples and case studies
*Learn to use VHDL in real-world applications

Inhalt

Cover 1
Neural and Fuzzy Logic Control of Drives and Power Systems 4
Copyright Page 5
Contents 6
Preface 12
Chapter 1. Control systems 14
1.1 Control theory: historical review 14
1.2 Introduction to control systems 15
1.3 Control systems for a.c. drives 18
Chapter 2. Modern control systems design using CAD techniques 23
2.1 Electronic design automation (EDA) 23
2.2 Application specific integrated circuit (ASIC) basics 25
2.3 Field programmable gate arrays (FPGAs) 27
2.4 ASICs for power systems and drives 29
Chapter 3. Electric motors and power systems 31
3.1 Electric motors 31
3.2 Power systems 32
3.3 Pulse width modulation 35
3.4 The space vector in electrical systems 39
3.5 Induction motor control 41
3.6 Synchronous generators control 64
Chapter 4. Elements of neural control 69
4.1 Neurone types 69
4.2 Artificial neural networks architectures 72
4.3 Training algorithms 74
4.4 Control applications of ANNs 82
4.5 Neural network implementation 84
Chapter 5. Neural FPGA implementation 90
5.1 Neural networks design and implementation strategy 90
5.2 Universal programs – FFANN hardware implementation 108
5.3 Hardware implementation complexity analysis 111
Chapter 6. Fuzzy logic fundamentals 126
6.1 Historical review 126
6.2 Fuzzy sets and fuzzy logic 127
6.3 Types of membership functions 129
6.4 Linguistic variables 130
6.5 Fuzzy logic operators 130
6.6 Fuzzy control systems 131
6.7 Fuzzy logic in power and control applications 134
Chapter 7. VHDL fundamentals 136
7.1 Introduction 136
7.2 VHDL design units 139
7.3 Libraries, visibility and state system in VHDL 144
7.4 Sequential statements 148
7.5 Concurrent statements 154
7.6 Functions and procedures 159
7.7 Advanced features in VHDL 164
7.8 Summary 167
CASE STUDIES 170
Chapter 8. Neural current and speed control of induction motors 172
8.1 The induction motor equivalent circuit 172
8.2 The current control algorithm 174
8.3 The new sensorless motor control strategy 196
8.4 Induction motor controller VHDL design 212
8.5 FPGA controller experimental results 240
Chapter 9. Fuzzy logic control of a synchronous generator set 250
9.1 System representation 250
9.2 VHDL modelling 261
9.3 FPGA implementation 283
9.4 System assembly and experimental tests 298
Final notes 306
Chapter 10. References 307
Chapter 11. Appendices 318
11.1 Appendix A – C++ code for ANN implementation 318
11.2 Appendix B – C++ programs for PWM generation 346
11.3 Appendix C – Subnetworks VHDL models 354
11.4 Appendix D – VHDL model of the sine wave ROM 368
11.5 Appendix E – VHDL code for simulation 370
11.6 Appendix F – VHDL code for synthesis 387
11.7 Appendix G – PWM controllers 402
Index 410

Produkt-Details

• Erscheint lt. Verlag: 1.7.2002
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Logik / Mengenlehre
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• ISBN-10: 0-08-049736-5 / 0080497365
• ISBN-13: 978-0-08-049736-5 / 9780080497365