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 (K_p, K_i and K_d) 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