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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Product Details

Paperback: 399 pages
Publisher: Newnes; 1 edition (Sep 24 2002)
Language: English
ISBN-10: 0750655585
ISBN-13: 978-0750655583
Product Dimensions: 25.7 x 17.6 x 2.6 cm
Shipping Weight: 862 g
Amazon Bestsellers Rank: #2,249,818 in Books (See Top 100 in Books)

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Product Description

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

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.

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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

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Front Cover | Copyright | Table of Contents | Excerpt | Index