Neural and Fuzzy Logic Control of Drives and Power Systems
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.
Saved in:
| Main Authors | , , , |
|---|---|
| Format | eBook |
| Language | English |
| Published |
Chantilly
Elsevier Science & Technology
2002
|
| Edition | 1 |
| Subjects | |
| Online Access | Get full text |
| ISBN | 0750655585 9780750655583 |
Cover
Table of Contents:
- 8.2 The current control algorithm -- 8.3 The new sensorless motor control strategy -- 8.4 Induction motor controller VHDL design -- 8.5 FPGA controller experimental results -- Chapter 9. Fuzzy logic control of a synchronous generator set -- 9.1 System representation -- 9.2 VHDL modelling -- 9.3 FPGA implementation -- 9.4 System assembly and experimental tests -- Final notes -- Chapter 10. References -- Chapter 11. Appendices -- 11.1 Appendix A - C++ code for ANN implementation -- 11.2 Appendix B - C++ programs for PWM generation -- 11.3 Appendix C - Subnetworks VHDL models -- 11.4 Appendix D - VHDL model of the sine wave ROM -- 11.5 Appendix E - VHDL code for simulation -- 11.6 Appendix F - VHDL code for synthesis -- 11.7 Appendix G - PWM controllers -- Index
- Front Cover -- Neural and Fuzzy Logic Control of Drives and Power Systems -- Copyright Page -- Contents -- Preface -- Chapter 1. Control systems -- 1.1 Control theory: historical review -- 1.2 Introduction to control systems -- 1.3 Control systems for a.c. drives -- Chapter 2. Modern control systems design using CAD techniques -- 2.1 Electronic design automation (EDA) -- 2.2 Application specific integrated circuit (ASIC) basics -- 2.3 Field programmable gate arrays (FPGAs) -- 2.4 ASICs for power systems and drives -- Chapter 3. Electric motors and power systems -- 3.1 Electric motors -- 3.2 Power systems -- 3.3 Pulse width modulation -- 3.4 The space vector in electrical systems -- 3.5 Induction motor control -- 3.6 Synchronous generators control -- Chapter 4. Elements of neural control -- 4.1 Neurone types -- 4.2 Artificial neural networks architectures -- 4.3 Training algorithms -- 4.4 Control applications of ANNs -- 4.5 Neural network implementation -- Chapter 5. Neural FPGA implementation -- 5.1 Neural networks design and implementation strategy -- 5.2 Universal programs - FFANN hardware implementation -- 5.3 Hardware implementation complexity analysis -- Chapter 6. Fuzzy logic fundamentals -- 6.1 Historical review -- 6.2 Fuzzy sets and fuzzy logic -- 6.3 Types of membership functions -- 6.4 Linguistic variables -- 6.5 Fuzzy logic operators -- 6.6 Fuzzy control systems -- 6.7 Fuzzy logic in power and control applications -- Chapter 7. VHDL fundamentals -- 7.1 Introduction -- 7.2 VHDL design units -- 7.3 Libraries, visibility and state system in VHDL -- 7.4 Sequential statements -- 7.5 Concurrent statements -- 7.6 Functions and procedures -- 7.7 Advanced features in VHDL -- 7.8 Summary -- CASE STUDIES -- Chapter 8. Neural current and speed control of induction motors -- 8.1 The induction motor equivalent circuit