Development and Performance Evaluation of an Adaptive Hybrid Fuzzy-Sliding Mode Controller for Permanent Magnet Synchronous Motors

Abstract

 This paper proposes a novel adaptive hybrid controller that integrates Fuzzy Logic Control (FLC) and Sliding Mode Control (SMC) to enhance the speed regulation of Permanent Magnet Synchronous Motors (PMSMs). Conventional PID controllers often exhibit poor performance under nonlinear conditions and load disturbances, while standalone FLC and SMC suffer from slow transient response and chattering, respectively. To overcome these limitations, this study introduces an adaptive weighting mechanism that dynamically balances FLC’s smooth steady-state operation with SMC’s robust transient response. The proposed controller is rigorously evaluated through MATLAB/Simulink simulations on a 1500 W, 1500 RPM PMSM under various operating conditions, including step changes, ramp tracking, and load disturbances. Performance metrics such as overshoot, settling time, steady-state error, torque ripple, and energy efficiency are quantified. The hybrid controller achieves superior performance: 4% overshoot, 0.6 s settling time, 0.5% steady-state speed error, 28% improvement in energy efficiency over SMC, and a torque ripple reduction to 1%. These results demonstrate that the adaptive hybrid FLC-SMC controller offers a robust, efficient, and high-performance solution for PMSM-driven systems in electric vehicles and industrial applications.