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Neural and Fuzzy Logic Control of Drives and Power Systems
 
 
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Neural and Fuzzy Logic Control of Drives and Power Systems [Paperback]

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

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Book Description

October 8, 2002 0750655585 978-0750655583 1
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

Editorial Reviews

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.

About the Author

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.


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Inside This Book (learn more)
First Sentence:
The function of a control mechanism is to maintain certain essential properties of a system at a desired value under perturbations. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
slip angular frequency, angle subnetwork, stator current amplitude, recursive implementation procedure, group threshold level, analogue neurones, std logic vector, current control algorithm, position subnetwork, stator angular frequency, frequency wes, space vector model, speed control algorithm, natural field orientation, induction estimation, current space vector, codification style, inductance estimation, neurone behaviour, speed control strategy, initialisation register, neurone weights, logic gate structure, secondary design units, current control strategy
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Intelligent Motion, Negative Big, Positive Big, Standard Input, International Conference, International Journal, Texas Instruments, Workview Office, Negative Small, Positive Small, Simulation Version, Oxford University Press, Is-min Is-max, John Wiley, Morgan Kaufmann, Negative Very Big, Positive Very Big, Power Engineering Journal, San Mateo, Xilinx Inc
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