Neural and Fuzzy Logic Control of Drives and Power Systems - Hardcover

Cirstea, Marcian; Dinu, Andrei; McCormick, Malcolm; Khor, Jeen Ghee

Hardcover

ISBN 10: 0750655585 ISBN 13: 9780750655583

Publisher: Newnes, 2002

Synopsis

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.

About this title

About the Authors

Dr. M. Cirstea is currently senior lecturer in electronics at De Montfort University inLeicester, UK. He completed his PhD at Nottingham Trent University, UK (1996), aftergraduating from Transilvania University of Brasov in Romania (MEng diploma engineer -1990). He obtained a Postgraduate Certificate in Teaching and Learning from De MontfortUniversity (1999). Dr. Cirstea teaches a range of modules on advanced digital electronicsand EDA/CAD. His research focuses on electronic control of power systems and drives.Additional interests are in ASIC/FPGA design and implementation, vehicle electronics,concurrent engineering, neural networks and fuzzy logic. He is an active researcher,involved in industrial collaboration and international academic exchange programmes. Dr.Cirstea published several academic books and more than 50 scientific papers. He supervised3 PhDs and 1 MPhil to completion and is currently supervising another 4 research students.He is a Chartered Engineer (CEng), Member of IEE, Member of IEEE, referee for a range ofprestigious IEE/IEEE journals/conferences and currently is one of the 9 members of theInternational Advisory Board for Accelera Designers Forum (ADF)(http://www.eda.org/pub/adf/ADFboardm.html#peb).

Andrei Dinu is on the Faculty of Computing Sciences and Engineering, for De Montford University in Leicester in the UK.

Malcolm McCormick is on the faculty of Computing Sciences and Engineering for De Montfort University in Leicester in the UK.

Jeen Khor works in the Network Processing Group for Intel Corporation in Malaysia.

From the Back Cover

*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

Introducing cutting edge control systems through real-world applications

Neural networks and fuzzy logic based systems offer a modern control solution to AC machines used in variable speed drives, enabling industry to save costs and increase efficiency by replacing expensive and high-maintenance DC motor systems. The use of fast micros has revolutionised the field with sensorless vector control and direct torque control. This book reflects recent research findings and acts as a useful guide to the new generation of control systems for a wide readership of advanced undergraduate and graduate students, as well as practising engineers.

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.

Edition details

• Publisher: Newnes
• Publication date: 2002
• Language: English
• ISBN 10: 0750655585
• ISBN 13: 9780750655583
• Binding: Hardcover
• Edition number: 1
• Number of pages: 399