Direct torque control for a six phase induction motor using a fuzzy based and sliding mode controller

Direct Torque Control (DTC) is widely recognized for its fast dynamic response and simplicity in controlling induction motors. However, conventional DTC suffers from drawbacks such as high torque and flux ripple, sensitivity to parameter variations, and poor performance under low-speed operation. This study proposes an enhanced DTC strategy for a modified six-phase induction motor (MSPIM) by integrating Fuzzy-Based Proportional-Integral-Derivative (FPID) control compared with conventional PID and Sliding Mode Control (SMC). The FPID, PID, and SMC controller are employed to regulate speed and flux, leveraging its adaptability and robustness to system uncertainties. The six-phase induction motor, with its inherent fault-tolerant capabilities and reduced torque pulsations, serves as an ideal candidate for high-performance applications. Results obtained using MATLAB Simulink show that the proposed control strategy significantly reduces torque and flux ripple, improves dynamic response, and enhances robustness against speed and load changing. This work highlights the potential of combining intelligent control techniques like FPID, PID and SMC to advance the performance of DTC in multi-phase induction motor drives, particularly in applications requiring high reliability and efficiency. Based on simulation results, the fuzzy PID inverter reduces the speed error and THD of the current and voltage waveforms, thereby improving MSPIM's overall performance when compared to the regular PID and SMC.