Abstract
Due to their better electrical properties and mechanical features, the usage of BLDC motors is increasing and they have replaced conventional DC and asynchronous motors in many applications. This project provides a sensor-based permanent magnet brushless DC motor for commercial and electric vehicles. To improve the reliability of BLDC motor speed regulation, a PID controller is employed. The three-phase voltage inverter delivers a constant DC voltage and is synced with the BLDC motor. Closed-loop speed control is done utilizing the Ziegler-Nichols technique. Particle Swarm optimization and PID controller improved using Firefly algorithm The recommended system is simulated using MATLAB simulation and the performance of the BLDC motor is tested by comparing attributes such as Rise time. Settling time and Peak overshoot.
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