Fuzzy sliding mode control of a Permanent Magnet Synchronous Motor with two different fuzzy membership functions

This paper is focused on the design of the Fuzzy Sliding Mode Controller (Fuzzy SMC) for the Speed control of Permanent Magnet Synchronous Motors (PMSM) with Triangular and Gaussian fuzzy membership functions. PMSM are widely used in industrial applications such as robotic manipulators and machine tools due to its high efficiency, high torque to weight ratio and smaller size. One of the efficient control strategies of PMSM is based on Vector Control or Field Oriented Control. Sliding mode control (SMC) is a very popular technique to deal with uncertainties. System dynamics in such cases can be improved by combining the intelligence of fuzzy logic with the sliding mode control technique. Performance comparison of a Fuzzy sliding mode controller with Triangular and Gaussian membership functions and also with conventional PI controller and adaptive fuzzy PI controller for the vector control of a PM Synchronous Motor is carried out in this paper. Results of this study show that the system performance is improved when Fuzzy SMC with triangular membership function is used for the speed control of PMSM.