Design of PI and fuzzy-based sliding mode controller for speed control of BLDC motor using Landsman converter in electric vehicles

Abstract

This research paper compares a conventional proportional-integral (PI) controller with a fuzzy-based sliding mode controller (FSMC) for speed control of a brushless DC (BLDC) motor powered by a Landsman DC-DC converter for electric vehicle (EV) applications. MATLAB/Simulink is used to model and simulate the proposed system's cascaded control architecture, which consists of a voltage source inverter and a Landsman converter. The performance is assessed in steady-state, load-disturbance, and transient scenarios. According to simulation data, the FSMC outperforms the PI controller in terms of rise time (0.064 s), overshoot (0.17%), and settling time (0.212 s). The FSMC exhibits better resilience, limiting the speed reduction to 45 RPM with a recovery time of 0.04 s with a sudden load disturbance of 1 Nm. The findings verify that the FSMC is appropriate for high-performance BLDC motor drive systems in electric vehicle applications because it provides improved dynamic response and disturbance rejection.