Abstract:In this paper, a Multi wavelet neural network (MWNN)-Particle Swarm Optimization (PSO) based MRPID controller is proposed for the speed control of an interior permanent magnet synchronous motor (IPMSM) drive system. In the proposed controller, the multi wavelet transform is used to decompose the available error signal from the actual speed and command speed signal into different frequency components. The parameters of the proposed controller are optimized by PSO algorithm. Then the calculated error coefficients are multiplied with their respective gains to generate an overall control signal. The proposed model is implemented in MATLAB/SIMULINK working platform and the speed control performance of a proposed controller is evaluated. The IPMSM motor drive with MWNN-PID controller through simulation results proves a better performance and stability when compared to that of conventional PID and WNN-PID controllers.