Fuzzy Logic Speed Controllers Using FPGA Technique - Almobaied, Moayed
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In this Book, a modern FPGA card (Spartan-3A, Xilinx Company) is used to realized a novel Fuzzy- PID control strategy on a complex system; a three- phase induction motor (squirrel cage type) is selected as a case study. The Fuzzy logic control demonstrates a good performance. Furthermore, Fuzzy logic offers the advantage of a faster design, and emulation of human control strategies. Also, Fuzzy control works well for high-order and nonlinear and shows the efficiency over the PID controller. The proposed controller and the pulse width modulator (PWM) inverter algorithm which have been built in…mehr

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Produktbeschreibung
In this Book, a modern FPGA card (Spartan-3A, Xilinx Company) is used to realized a novel Fuzzy- PID control strategy on a complex system; a three- phase induction motor (squirrel cage type) is selected as a case study. The Fuzzy logic control demonstrates a good performance. Furthermore, Fuzzy logic offers the advantage of a faster design, and emulation of human control strategies. Also, Fuzzy control works well for high-order and nonlinear and shows the efficiency over the PID controller. The proposed controller and the pulse width modulator (PWM) inverter algorithm which have been built in FPGA have resulted in a fast speed response and a good stability in controlling the three-phase induction motor. For comparison purpose, two widely used controllers are realized using the same FPGA kit: PID and Fuzzy. Simulations are performed using MATLAB/SIMULINK (R2009a) with varying load and speed conditions. The Fuzzy-PID control strategy outperformed both PID and Fuzzy controllers. This book will be especially useful to academics, researchers, and practitioners.
Autorenporträt
Moayed Naser Almobaied was born in 07th of February 1978. He received his BSc and MSc from the Islamic University of Gaza, in 2001 and 2008 respectively. Currently, he is a lecturer in the Electrical Engineering Department at Islamic University of Gaza, Palestine. His current research interests include Fuzzy control and power electronics.