ENHANCING THE SPEED-TORQUE PERFORMANCE OF AN INDUCTION MOTOR DRIVE USING ADAPTIVE CONTOL TECHNIQUE

Abstract

This research investigates the efficacy of adaptive control techniques in enhancing the presentation of induction engine drives. An adaptive framework leveraging fuzzy logic was developed to address torque control, speed control and power loss reduction in induction motors. A comparative analysis was conducted between the proposed adaptive model and the conventional PID model to evaluate performance improvements. The results demonstrate significant enhancements achieved by the adaptive model across various performance parameters. Compared to the conventional PID model, the adaptive framework exhibits a remarkable improvement in torque control, achieving an increase of approximately 36.92%. Moreover, speed control was enhanced by 17.67% through the adaptive control approach. The adaptive control framework demonstrates its effectiveness in reducing power loss, with a reduction rate of 13.6%. Simultaneously, the adaptive model boosts the output power by 33.5%, thereby enhancing the overall operational efficiency of the induction motor with an 8% increase in motor efficiency, signifying its potential for enhancing energy utilization and operational performance. This exploration highlights the importance of adaptive control strategies in improving the efficiency and performance of induction motor drives. The findings give significant bits of knowledge to the advancement of more advanced control strategies aimed at optimizing industrial motor systems.

Keywords: induction motor, adaptive control techniques, sensorless control, parameter estimation