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.
PI Controller Tuning Using Genetic Algorithm
01.11.2021
1037577 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Genetic Algorithm for Controller On-Line Tuning
British Library Online Contents | 1999
|PID controller tuning for a multivariable glass furnace process by genetic algorithm
British Library Online Contents | 2016
|Emerald Group Publishing | 2021
|