PSO-Based PI Controller for Voltage-Oriented Controller based Vienna Rectifier for Electric Vehicle Charging Stations

Gowthamraj Rajendran, C. Vaithilingam, K. Naidu, A. Alsakati, Hafisoh Ahmad
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引用次数: 2

Abstract

Nonlinear processes are extremely frequent in the process of the industry, and it is always better to build a stabilizing controller to optimize the rate of output. One of the recent emerging technology which makes the system nonlinear is electric vehicle charging stations. This research work aims to optimize the PI controller with a voltage-oriented controller-based Vienna rectifier for electric vehicle charging stations (EVCS). With the trial and error method for EV charging stations, the PI controller parameters K_p and K_i values, the error values such as integral square error (ISE) and integral absolute error (IAE), system parameters such as rise time settling time, and peak overshoot values are extremely high in the Vienna rectifier based VOC system. Due to the increased system parameters, the stability of the system has been reduced, which approaches a reduction in the system efficiency. The system parameters must be mitigated to provide stable operation to overcome the aforementioned issues with EV charging stations. In this research work, the PSO optimization-based PI controller for EV charging stations has been proposed. The proposed PSO-PI controller optimizes the control parameters and reduces the error values to make the system more stable. The proposed system is simulated and optimized using MATLAB software. The proposed PSO-PI controller-based EV charging station improves the system stability 12% more than the existing VOC controller with Vienna rectifier for EV charging stations.
基于pso的基于电压定向控制器的电动汽车充电站维也纳整流器PI控制器
在工业过程中,非线性过程非常频繁,最好建立一个稳定的控制器来优化产出率。近年来出现的一种使系统非线性的技术是电动汽车充电站。本研究工作旨在利用基于电压导向控制器的维也纳整流器优化电动汽车充电站(EVCS)的PI控制器。采用试错法对电动汽车充电站进行试验,在基于维也纳整流器的VOC系统中,PI控制器参数K_p和K_i值、积分平方误差(ISE)和积分绝对误差(IAE)等误差值、系统参数上升时间、沉降时间、峰值超调值等误差值都非常高。由于系统参数的增加,系统的稳定性降低,接近于系统效率的降低。为了解决电动汽车充电站的上述问题,必须降低系统参数以保证稳定运行。在本研究中,提出了基于粒子群优化的电动汽车充电站PI控制器。所提出的PSO-PI控制器通过优化控制参数,减小误差值,使系统更加稳定。利用MATLAB软件对系统进行了仿真和优化。本文提出的基于PSO-PI控制器的电动汽车充电站系统稳定性比现有的带有维也纳整流器的VOC控制器提高了12%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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