Efficiency optimization control of SynRM drive by LM-FNN 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 for various operating conditions. Analysis results are presented to show the validity of the proposed algorithm.