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

Mirza Muntasir Nishat, Fahim Faisal, Anik Jawad Evan, Md. Moshiour Rahaman, Md. Sadman Sifat, H. M. Fazle Rabbi

2020Journal of Power and Energy Engineering51 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

PID controllerSettling timeOvershoot (microwave communication)Control theory (sociology)Genetic algorithmBuck converterMATLABStability (learning theory)Controller (irrigation)Key (lock)Computer scienceAlgorithmPower electronicsEngineeringElectronic engineeringControl engineeringStep responseVoltageControl (management)Temperature controlElectrical engineeringArtificial intelligenceMachine learningAgronomyBiologyOperating systemTelecommunicationsComputer securityAdvanced DC-DC ConvertersMicrogrid Control and OptimizationMultilevel Inverters and Converters
Development of Genetic Algorithm (GA) Based Optimized PID Controller for Stability Analysis of DC-DC Buck Converter | Litcius