Fuzzy-Enabled Direct Torque Control for Low Torque Ripple in Induction Motors for EV Applications

摘要

This paper presented a comprehensive Fuzzy logic controlled DTC as applied to induction motor for EV applications. Fuzzy inference system has been developed to improve the dynamic torque and flux response of the induction motor drive. The DTC Look-Up Table (LUT) and fixed band hysteresis comparators has been replaced by a set of flexible Fuzzy rule base. The proposed Fuzzy DTC scheme is observed to minimize the torque and flux ripple and maintained a superior performance under all operating conditions. Besides the torque ripple minimization, a faster dynamic torque response has been achieved by the inclusion of the Fuzzy speed controller in the outer loop. The entire system has been implemented in MATLAB/Simulink with a typical Electric vehicle drive cycle instructing the driver command into the motor drive system. A reasonable amount of torque and flux ripple reduction confirms the success of the suggested scheme.