PI Controller Tuning Using Genetic Algorithm

Abstract

This paper presents the tuning of the parameters of a PI controller of an aging chamber using a computational method called genetic algorithms which is inspired by natural selection and biological evolution. To properly obtain the PI parameters it is necessary to characterize the aging chamber, to determine the fitness function for this research, the ITAE criterion is used to obtain the absolute error of the controller and the closed-loop thermal system, the results obtained by the genetic algorithm and the MATLAB PID Tunner tool are compared by means of a simulation resulting in an 11% overshoot for the MATLAB PID Tunner tool case and a 0.67% overshoot for the genetic algorithm.