Speed Control Optimization for Electric Vehicle Based on PI Controller
Keywords:
Pollution Electric Vehicles, Brushless Direct Current (BLDC) Motor, PI ControllerAbstract
With technological advancement and increased concern for controlling pollution, electric vehicles are becoming influential in the transport field. The Brushless Direct Current (BLDC) Motor is employed in electric vehicles converting electrical power into mechanical energy. Due to its low maintenance and compact structure, BLDC Motor technologies are widely used for global industrial applications, and variable speed drives in electric vehicles. This project aims to design the PI controller for speed control of BLDCM (Brushless DC Motor) used in electric vehicles and by using motor parameters monitored and controlled. The control parameters of the PI controller are Proportional Gain (KP) and Integral Gain (Ki), which are found in PI tuning. Simulation is carried out on different optimized algorithms showing the dynamic response for rapid tuning results of the proposed modified PI controller. The best-fitted optimized algorithm with smaller overshoot, less setting time, and rising time for the design of the controller is proposed, which can help control the motor's speed and maintain constant speed during load changes.
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