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

Area of Science:

• Electrical Engineering
• Control Systems

Background:

• Conventional Direct Torque Control (DTC) for induction motors faces challenges like torque ripple and poor low-speed performance.
• Modified six-phase induction motors (MSPIM) offer inherent fault tolerance and reduced torque pulsations.

Purpose of the Study:

• To propose and evaluate an enhanced DTC strategy for MSPIM using Fuzzy-Based Proportional-Integral-Derivative (FPID) control.
• To compare the performance of FPID with conventional PID and Sliding Mode Control (SMC) in regulating speed and flux.

Main Methods:

• Implementation of FPID, PID, and SMC controllers within a DTC framework for an MSPIM.
• Simulation analysis using MATLAB Simulink to assess dynamic response, torque/flux ripple, and robustness.

Main Results:

• The proposed FPID-based DTC strategy significantly reduces torque and flux ripple in MSPIM.
• Improved dynamic response and enhanced robustness against speed and load variations were observed.
• FPID control demonstrated reduced speed error and lower Total Harmonic Distortion (THD) in current and voltage waveforms.

Conclusions:

• Combining intelligent control techniques like FPID with DTC offers superior performance for multi-phase induction motor drives.
• The FPID strategy enhances the reliability and efficiency of MSPIM, particularly in demanding applications.
• FPID-based DTC presents a viable solution for improving the overall performance of induction motor drives.