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

作　　者：Mirza Muntasir Nishat Fahim Faisal Anik Jawad Evan Md. Moshiour Rahaman Md. Sadman Sifat H. M. Fazle Rabbi Mirza Muntasir Nishat;Fahim Faisal;Anik Jawad Evan;Md. Moshiour Rahaman;Md. Sadman Sifat;H. M. Fazle Rabbi(Department of Electrical and Electronic Engineering, Islamic University of Technology, Dhaka, Bangladesh)

机构地区：[1]Department of Electrical and Electronic Engineering, Islamic University of Technology, Dhaka, Bangladesh

出　　处：《Journal of Power and Energy Engineering》2020年第9期8-19,共12页电力能源（英文）

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.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.

关 键 词：Genetic Algorithm OPTIMIZATION PID Controller Converter: State Space Average Method 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]