Neural and Fuzzy Logic Control of Drives and Power Systems


  • Marcian Cirstea, De Montfort University, Leicester, UK
  • Andrei Dinu, De Montford University, Leicester, UK
  • Malcolm McCormick, De Montfort University, Leicester, UK
  • Jeen Ghee Khor, Intel Corporation, Network Processing Group, Malaysia

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.
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Professional engineers, advanced undergraduate / graduate students: control systems, power systems, fuzzy logic, applied VHDL


Book information

  • Published: July 2002
  • Imprint: NEWNES
  • ISBN: 978-0-7506-5558-3

Table of Contents

Part 1-Theory and Principles; Control Systems; Modern Control Systems Design using CAD Techniques; Electric Motors and Power Systems; Elements of Neural Control; Neural FPGA Implementation; Fuzzy Logic Fundamentals; VHDL FundamentalsPart 2-Case Studies; Neural Current and Speed Control of induction Motors; Fuzzy Logic Control of a Synchronous Generator Set; References