Current - Issue

Electric vehicles (EVs) require efficient and robust motor control systems to ensure smooth speed tracking, fast dynamic response, and high energy efficiency. Conventional PID controllers are widely used due to their simplicity, but their performance degrades under nonlinear conditions and varying loads. To overcome these limitations, this research proposes a fuzzy- PID motor controller designed and simulated using MATLAB/Simulink. The model was developed in MATLAB/Simulink, simulations were carried out, and results were observed. In this simulation model, the speed of the BLDC motor is controlled using a fuzzy-coupled PI controller. The overshoot, downshoot and settling error will be reduced drastically with the help of a fuzzy PI controller. The proposed control strategy is suitable for electric vehicle propulsion systems that require robustness and adaptability.