Neural and fuzzy logic control of drives and power systems / M.N. Cirstea ... [et al.].

Format:

Book

Contributor:

Cirstea, M. N. (Marcian N.)

Language:

English

Subjects (All):

Electric motors, Alternating current.

Fuzzy systems.

Motion control devices.

Power transmission.

VHDL (Computer hardware description language).

Physical Description:

1 online resource (412 p.)

Place of Publication:

Oxford ; Burlington, MA : Newnes, 2003, c2002.

Language Note:

English

Summary:

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 desig

Contents:

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 modulation3.4 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 logic6.3 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

8.2 The current control algorithm8.3 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 ROM11.5 Appendix E - VHDL code for simulation; 11.6 Appendix F - VHDL code for synthesis; 11.7 Appendix G - PWM controllers; Index

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

9786611014025

9781281014023

1281014028

9780080497365

0080497365

OCLC:

437182155