Optimized Speed Regulation of Induction Motors through PI Controller Tuning with Cuckoo Search Optimization

This paper explores the application of optimization techniques in enhancing speed regulation in induction motor drives, particularly focusing on Direct Torque Control (DTC) systems. It specifically investigates the use of cuckoo search algorithm (CSA) for optimizing proportional-integral (PI) controllers in regulating the speed of induction motors. By utilizing CSA, optimal values for the controller’s proportional (kp) and integral (ki) gains are determined based on minimizing the Integral Square Error (ISE) of speed error. The effectiveness and adaptability of CSA in speed control are evaluated through MATLAB simulations conducted on a 0.75 kW induction motor under both load and no-load conditions. The results include waveform analyses of speed, current, and torque, demonstrating the efficacy of the CSA-optimized PI controller for achieving precise speed regulation in induction motor systems.