Title :
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
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;
Conference_Titel :
Mechatronics and its Applications (ISMA), 2012 8th International Symposium on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4673-0860-1
DOI :
10.1109/ISMA.2012.6215186
