Open AccessGenetic algorithm error criteria as applied to PID controller DC-DC buck converter parameters: an investigation
Author(s) -
Amer A. Chlaihawi
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/671/1/012032
Subject(s) - pid controller , overshoot (microwave communication) , control theory (sociology) , buck converter , matlab , converters , transient response , transfer function , genetic algorithm , computer science , transient (computer programming) , step response , controller (irrigation) , steady state (chemistry) , mathematics , engineering , control engineering , voltage , temperature control , control (management) , telecommunications , agronomy , chemistry , electrical engineering , artificial intelligence , machine learning , biology , operating system
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.