DocumentCode :
696394
Title :
Velocity control of EHSS by using Mamdani and ANFIS controllers
Author :
Aghaei Hesari, Veeda ; Shoorehdeli, Mahdi Aliyari ; Teshnehlab, Mohammad
Author_Institution :
Comput. Eng. Dept., Islamic Azad Univ., Tehran, Iran
fYear :
2009
fDate :
23-26 Aug. 2009
Firstpage :
3904
Lastpage :
3909
Abstract :
In this paper a Mamdani type fuzzy system and an adaptive network based fuzzy inference system (ANFIS) are presented for velocity control of an electro hydraulic servo system (EHSS) in presence of flow nonlinearities and internal friction. The architecture and learning procedure ANFIS is presented, which is a fuzzy inference system implemented in the framework of adaptive networks. It is shown that both these controllers can be successfully used to stabilize any chosen operating point of the system. All derived results are validated by computer simulation of nonlinear mathematical model of the system.
Keywords :
control engineering computing; control nonlinearities; electrohydraulic control equipment; friction; fuzzy reasoning; fuzzy systems; learning (artificial intelligence); servomechanisms; stability; velocity control; ANFIS controllers; Mamdani type fuzzy system; adaptive network based fuzzy inference system; computer simulation; electrohydraulic servo system; flow nonlinearities; internal friction; learning procedure; nonlinear mathematical model; stabilization; velocity control; Adaptive systems; Electrohydraulics; Servomotors; Simulation; Valves; Velocity control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2009 European
Conference_Location :
Budapest
Print_ISBN :
978-3-9524173-9-3
Type :
conf
Filename :
7075009
Link To Document :
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