PERFORMANCE AND COMPARISON ANALYSIS OF SPEED CONTROL OF INDUCTION MOTOR USING HYBRID PID-FUZZY CONTROLLER

Abstract

This paper is about performance &comparison analysis of speed control in induction motors using an improved hybrid PIDFuzzy Logic Controller (FLC). Induction motors are widely used in industrial applications due to their robustness and simplicity, but precise speed control remains a challenge due to their inherent nonlinearity and parameter variations. Traditional PID controllers, while popular, often fall short in dynamic performance and adaptability. To address these limitations, this study proposes an enhanced hybrid control strategy that integrates the precision of PID with the adaptability of fuzzy logic. The proposed controller dynamically adjusts PID parameters using fuzzy inference rules, enabling better response under varying load conditions and improving transient performance. Simulation models are developed in MATLAB/Simulink to evaluate and compare the performance of the hybrid PID-Fuzzy controller against conventional PID and standalone fuzzy logic controllers. Key performance indicators such as rise time, settling time, overshoot, and steady- state error are analyzed. The proposed controller is implemented and tested in a MATLAB/Simulink environment. A detailed performance analysis is conducted under various operating scenarios, including load disturbances and reference speed changes. Comparative evaluation is performed between the improved hybrid controller, conventional PID, and standalone fuzzy controllers based on key performance indices such as rise time, settling time, overshoot, and steady-state error.