Zhang, C., Wang, J., Li, S., Wu, B. and Qian, C. (2015) Robust Control for PWM-Based DC-DC Buck Power Converters with Uncertainty via Sampled-Data Output Feedback. IEEE Transactions on Power Electronics, 30, 504-515.
https://doi.org/10.1109/TPEL.2014.2299759

has been cited by the following article:

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

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

  KEYWORDS: Genetic Algorithm, Optimization, PID Controller, Converter: State Space Average Method

  JOURNAL NAME: Journal of Power and Energy Engineering, Vol.8 No.9, September 11, 2020

  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.