%0 Journal Article
%T Development of Genetic Algorithm (GA) Based Optimized PID Controller for Stability Analysis of DC-DC Buck Converter
%A Mirza Muntasir Nishat
%A Fahim Faisal
%A Anik Jawad Evan
%A Md. Moshiour Rahaman
%A Md. Sadman Sifat
%A H. M. Fazle Rabbi
%J Journal of Power and Energy Engineering
%P 8-19
%@ 2327-5901
%D 2020
%I Scientific Research Publishing
%R 10.4236/jpee.2020.89002
%X 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.
%K Genetic Algorithm
%K Optimization
%K PID Controller
%K Converter: State Space Average Method
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=102780