Development of Genetic Algorithm (GA) Based Optimized PID Controller for Stability Analysis of DC-DC Buck Converter

• 作者: H. M. Fazle Rabbi
• 来源期刊: 电力能源(英文)
• 学科: 工学
• 关键词: Genetic Algorithm OPTIMIZATION PID Controller Converter: State Space Average Method
• 年，卷（期）: 2020,（9）
• 页码范围: 8-19
• 页数: 12页
• 分类号: TP3

摘要

This paper delineates a conventional buck converter controlled by optimized PID controller where Genetic Algorithm (GA) is employed with a view to enhancing the performance by analyzing the performance parameters. Genetic Algorithm is a probabilistic search algorithm which is substantially used as an optimization technique in power electronics. A bunch of modifications have already been introduced to enhance the performance depending upon the applications. However, in this paper, modified genetic algorithm has been used in order to tune the key parameters in the converter. Hence, an analysis is carried out where the performance of the converter is illustrated in terms of rise time, settling time and percentage of overshoot by deploying GA based PID controller and the overall comparative study is presented. Responses of the overall system are accumulated through rigorous simulation in MATLAB environment.