Comparative Analysis of T- Sugeno and Mamdani Type Fuzzy Logic Controller for PMSM Drives

Abstract — An electric drive performance is paramount for crucial motion application and greatly influenced by capabilities of controller. For high performance application, vector control technique is normally applied with the permanent magnet induction motor (PMSM) drive. Instead of conventional PID controller fuzzy logic controller (FLC) has been widely used for such application. In this paper, presented for two different inference system namely T-Sugeno and Mamdani FLCs for the performance of vector controlled PMSM drives. The performance of the drive has been investigated for speed control at different loading condition. For T-Sugeno type FLC the performance of drive system is found superior as compared to the Mamdani type FLC in terms of rise time, settling time, under shoots and over shoots. The complete viability of above mentioned vector control strategy is implemented an in the MATLAB/Simulink environment and a performance comparison of proposed drive system with different inference system based fuzzy logic controller used in fuzzy logic controller as speed controller for PMSM at no load and with fixed step load has been presented