Application of Biogeography based optimization in tuning a PID controller for nonlinear systems

Author

Salem, Mahmoud ; Khelfi, M.F.

Author_Institution

RIIR Lab., Mascara Univ., Mascara, Algeria

fYear

2012

fDate

5-6 Nov. 2012

Firstpage

1

Lastpage

6

Abstract

This paper is dedicated to present the newly developed evolutionary algorithm: Biogeography based optimization (BBO). It is based on the migration of information between habitats like in Biogeography. The BBO is then used to tune a PID controller of nonlinear systems where the parameters are optimized. Simulations of the proposed algorithm are carried out over an inverted pendulum and second on mass-spring damper system. Performances of the BBO are compared to those of genetic algorithm in PID tuning problem and the BBO gives acceptable results even best then GA.

Keywords

evolutionary computation; nonlinear control systems; three-term control; BBO; PID controller tuning; biogeography based optimization; evolutionary algorithm; information migration; inverted pendulum; mass-spring damper system; nonlinear systems; parameter optimization; Biogeography; Genetic algorithms; Nonlinear systems; Optimization; Sociology; Statistics; Tuning; Biogeography based optimisation; PID control; gentic algorithms; habitats; inverted pendulum; nonlinear system;

fLanguage

English

Publisher

ieee

Conference_Titel

Complex Systems (ICCS), 2012 International Conference on

Conference_Location

Agadir

Print_ISBN

978-1-4673-4764-8

Type

conf

DOI

10.1109/ICoCS.2012.6458525

Filename

6458525