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This paper is proposed genetic algorithm tuning(GAT) controller for high performance of induction motor drive. We employed GA to the classical PI controller. The approach having ability for global optimization and with good robustness, is expected to overcome some weakness of conventional approaches and to be more acceptable for industrial practices. The control performance of the GAT PI controller...
This paper is proposed an efficiency optimization control algorithm for a synchronous reluctance motor(SynRM) which minimizes the copper and iron losses. The design of the speed controller based on learning mechanism-fuzzy neural networks(LM-FNN) controller that is implemented using adaptive, fuzzy control and neural networks. The control performance of the LM-FNN controller is evaluated by analysis...
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