Genetic-Fuzzy Sliding Mode Controller for a DC Servomotor system

Author

Jaradat, Mohammad A. ; Awad, Mohammad I. ; El-Khasawneh, Bashar Sami

Author_Institution

Mech. Eng. Dept., Jordan Univ. of Sci. & Technol., Irbid, Jordan

fYear

2012

fDate

10-12 April 2012

Firstpage

1

Lastpage

6

Abstract

A Genetic-Fuzzy Sliding Mode Controller is presented for DC Servomotor system control. The fuzzy logic controller was optimized by Genetic Algorithm method to reduce and eliminate the chattering phenomenon. To demonstrate the effectiveness of the presented approach, a comparison between the proposed system, and standard Sliding Mode controller were conducted. Simulation results have shown the advantages of choosing the proposed controller, to achieve the desired results, regardless of the external disturbance, the variation in system parameters, or the feedback noise.

Keywords

DC motors; control nonlinearities; fuzzy control; genetic algorithms; machine control; servomotors; variable structure systems; DC servomotor system control; chattering phenomenon; external disturbance; feedback noise; fuzzy logic controller; genetic algorithm method; genetic-fuzzy sliding mode controller; system parameter variation; DC motors; Genetic algorithms; Noise; Robustness; Servomotors; Sliding mode control; DC Servomotor; Fuzzy Logic; Genetics Algorithm; Sliding Mode Controller;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and its Applications (ISMA), 2012 8th International Symposium on

Conference_Location

Sharjah

Print_ISBN

978-1-4673-0860-1

Type

conf

DOI

10.1109/ISMA.2012.6215186

Filename

6215186