Real-Time Implementation of ESOGI-FLL-based Speed-Sensorless Control for Induction Motor Drives within Electric Vehicle Systems

This paper proposes an enhanced method for estimating the speed of a three-phase induction motor (IM) using an improved second-order generalized integrator-based frequency-locked loop (ESOGI-FLL) designed explicitly for effective DC offset rejection. The proposed ESOGI-FLL-based speed estimation technique is seamlessly integrated into a sensorless control scheme, improving the overall control performance of the IM under various operating conditions, including scenarios with significant DC disturbances. The method ensures a smoother and more stable speed estimation by accurately determining the motor’s operating frequency and effectively suppressing ripples caused by DC offset. A key advantage of this approach is its reliance on a single current sensor, which simplifies implementation and enhances the system's robustness against external noise and disturbances. Extensive experimental results validate the efficacy of the proposed technique, demonstrating reliable and accurate performance over a broad speed range. The method's robustness and simplicity make it a promising solution for high-performance sensorless control of IMs in industrial applications.