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