Genetic-based Fuzzy Sliding Mode Control of an Interconnected Twin-Tanks

Author

Delavari, Hadi ; Noiey, Abolfazl Ranjbar

Author_Institution

Univ. of Mazandaran, Babol

fYear

2007

fDate

9-12 Sept. 2007

Firstpage

714

Lastpage

719

Abstract

In this paper, an improvement of sliding mode control design is investigated. A fast reaching velocity into the switching hyperplane in the hitting phase and little chattering phenomena in the sliding phase is desired. A fuzzy sliding mode control (FSMC) in cooperation with genetic algorithms (GAs) in coupled tanks problem is studied. A fuzzy logic controller is used to replace the discontinuity in the signoum function of the reaching law in the sliding mode control (SMC). Parameters of FSMC are adjusted by GAs. Finally, the performance and the significance of the controlled system are investigated under variation in system parameters and also in presence of an external disturbance. The simulation results indicate performance of genetic-based FSMC controller.

Keywords

control system synthesis; fuzzy control; genetic algorithms; nonlinear dynamical systems; process control; tanks (containers); variable structure systems; fuzzy logic controller; genetic algorithms; interconnected twin-tanks; signoum function; sliding mode control; switching hyperplane; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Genetic algorithms; Nonlinear systems; Robust control; Sliding mode control; Uncertainty; Variable structure systems; Coupled Tank; Fuzzy logic; Genetic Algorithms; Nonlinear control; Sliding Mode control;

fLanguage

English

Publisher

ieee

Conference_Titel

EUROCON, 2007. The International Conference on "Computer as a Tool"

Conference_Location

Warsaw

Print_ISBN

978-1-4244-0813-9

Electronic_ISBN

978-1-4244-0813-9

Type

conf

DOI

10.1109/EURCON.2007.4400597

Filename

4400597