Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
The revolution of electric vehicles is characterized by rapid development. This type of vehicle has witnessed its greatest growth; the reason for interest in electric vehicles is not only in reducing dependence on oil but also in preserving the environment. The Brushless DC (BLDC) plays a decisive role in electric vehicles and has gradually replaced the DC motor in many applications as it has no brush and commutator erosion and has many advantages including high efficiency, reliability and smaller size, less weight, need-less maintenance, long operating life and absence of ionized sparks due to the commutator. In this study, the Optimization algorithm for Particle Swarm (PSO) was used to find the optimal parameters of the PID. The main goal of this study is to get a stable, reliable and controlled system, the results of the simulation show a significant increase in the performance of the BLDC motor compared to the existing methods. To be a more effective way to control the position, torque, speed.
How to cite this article:
Ali Hadi Abdulwahid. Optimal Control of Brushless DC Motor for Electric Vehicle Based on
Particle Swarm Optimization.
DOI: https://doi.org/10.36478/jeasci.2019.2655.2660
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.2655.2660