Speed Control of Six Step Commutation Trapezoidal by Fuzzy Logic Control of BLDC Motor for E-Vehicle

This paper demand for efficient and sustainable transportation solutions has driven the widespread adoption of Electric Vehicles (EVs). Brushless DC motors emerging as a popular choice for their high effectiveness, reliability, and low maintenance. This project focuses on the speed control of BLDC motors in EVs using trapezoidal control fuzzy logic techniques. Trapezoidal control, a common approach for BLDC motor commutation, is explored for its advantages in smooth speed control and reduced harmonic distortion. A speed control fuzzy logic algorithm is developed to adjust the motor speed vigorously created on the vehicle's operational requirements, ensuring efficient energy. The system uses the six-step commutation approach to produce the required signals that regulate the inverter that powers of BLDC motor while monitoring the motor's speed, current, and rotor position in real-time. The efficiency of the suggested speed control strategy is confirmed by the presentation of simulation results, focusing on achieving rapid acceleration, maintaining a steady cruising speed, and improving torque efficiency.