Fuzzy Control of Interior Permanent Magnetic Motor and Designing the Coefficients of its controllers using Genetic Algorithm

In this paper، the fuzzy control method in the speed control of permanent magnet synchronous motor is presented. In this controlle two speed and current regulators are used. The speed controller is a fuzzy controller and the current controller is a classic controller. The coefficients of the controller are optimized by using Genetic Algorithm (GA). The aim of the optimization is the reduce the delay and the low steady state error in order to achieve the best possible response. In this paper the fuzzy and classic methods of control are compared to understand advantages and disadvantages of these two methods. In these two methods the motor parameters changs، the discanection of one phone and the measurement noise are studied and the results show that the fuzzy controller is stable in comparison with the classic controller.