ANFIS based Direct Torque Control of PMSM Motor for Speed and Torque Regulation

Nowadays, the Permanent Magnet Synchronous Motors (PMSM) are gaining popularity among electric motors due to their high efficiency, high-speed operation, ruggedness, and small size. PMSM comprise a trapezoidal electromotive force which is also called synchronous motors. Direct Torque Control (DTC) has been extensively applied in speed regulation systems its better dynamic behavior. The controller manages amplitude of torque stator flux directly using direct axis current. To manage motor speed, error, projected location linkage employed adjust inverter switching sequence via Space Vector Pulse Width Modulation (SVPWM). One most common problems encountered ripple, recreated by power electronic commutation reduces ripples increase drive's performance. Conventional controllers such as PI, PID SVPWM-DTC were compared with proposed Adaptive Neuro-Fuzzy Inference System (ANFIS) terms performance measures ripple. In this work, Two-Gaussian membership function ANFIS used conjunction reduce ripple up 0.53 Nm maintain distortion error 2.33 %.