Genetic algorithm error criteria as applied to PID controller DC-DC buck converter parameters: an investigation

Abstract

Abstract In this paper, the PID controller parameters of a DC-DC buck converter based on error criteria extracted by means of an applied genetic algorithm (GA)are studied. The GA-PID is designed with optimal parameters by minimising integral errors, and the application of these optimal parameters reduces transient response by minimising overshoot, rise time, peak time, and steady state time during step response. The simulation testing was done in MATLAB, and the performance of the proposed GA-PID method was investigated by the simulation of two different plants. The transfer function of the third order system was initially used as a primary simulation for the proposed method, while DC-DC buck converters were used in the second simulation. The results obtained demonstrate the feasibility of employing genetic algorithms to generate optimal parameters for PID controllers for the further development of DC-DC buck converters.