Neural and Fuzzy Logic Control of Drives and Power Systems

Neural and Fuzzy Logic Control of Drives and Power Systems

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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... Huber worked on a software-based digital AVR [124] for a power system generator, whereby the control functions of the AVR were stored in an on-line station mini computer. ... 3.18 Block diagram of a synchronous generator and AVR Fig.

Title:Neural and Fuzzy Logic Control of Drives and Power Systems
Author: Marcian Cirstea, Andrei Dinu, Malcolm McCormick, Jeen Ghee Khor
Publisher:Newnes - 2002-07-01

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