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 applicationsTo obtain an output frequency of 50 Hz, the counter (IC2) has to complete 50 cycles in one second. ... oscillator is that a voltage signal can be used to control the oscillator frequency and hence the sampling frequency of the inverter. This makes it possible to control the inverter frequency with a closed-loop control circuit.
|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|