DocumentCode :
2323934
Title :
Tuning PID controller with multi-objective differential evolution
Author :
Chiha, I. ; Ghabi, J. ; Liouane, N.
Author_Institution :
Ecole Nat. d´´Ingnieurs de Monastir (ENIM) Tunisie, Monastir, Tunisia
fYear :
2012
fDate :
2-4 May 2012
Firstpage :
1
Lastpage :
4
Abstract :
This paper treats a tuning of PID controllers method using Multi-objective Differential Evolution. The objective was to apply the differential evolution algorithm in the aim of tuning the optimum solution of the PID controllers (Kp, Ki and Kd) by minimizing the multi-objective function. The potential of using Multi-objective Differential Evolution is to identify Pareto-optimal solution. A classic approach based on the Ziecgler-Nichols method is applied to make comparison. Simulation results demonstrate that the new tuning method using Multi-objective Differential Evolution has a better control system performance compared with the classic approach.
Keywords :
Pareto optimisation; control system analysis; three-term control; tuning; PID controller tuning; Pareto optimal solution; Ziecgler-Nichols method; control system performance; multiobjective differential evolution algorithm; multiobjective function; Control systems; Convergence; Genetic algorithms; Optimization; Simulation; Tuning; Vectors; Differential Evolution; Multi-objective Optimization; PID controllers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications Control and Signal Processing (ISCCSP), 2012 5th International Symposium on
Conference_Location :
Rome
Print_ISBN :
978-1-4673-0274-6
Type :
conf
DOI :
10.1109/ISCCSP.2012.6217801
Filename :
6217801
Link To Document :
بازگشت