The PMSM (Permanent Magnet Synchronous Motor) drive systems are often used in electrical drives because of their simple structures, ease of maintenance and efficiency. However, the nonlinear behaviour which arises mainly from motor dynamics and load characteristics and the presence of uncertainties make their control an extremely difficult task. So, the speed control strategy should be adaptive and robust for successful industrial applications. To handle the control issue more effectively, By using the self-tuning Adaptive neuro fuzzy inference system with modified rule base is reduce the complexity of the controller without losing system performance and stability. The best topology is modelled in MATLAB/Simulink platform and the results are analyzed.
