ANFIS modeling of electro-hydraulic actuator system

Author

Ling, T.G. ; Rahmat, M.F. ; Husain, A.R.

Author_Institution

Dept. of Control & Instrum., Univ. Teknol. Malaysia, Skudai, Malaysia

fYear

2012

fDate

23-25 March 2012

Firstpage

89

Lastpage

92

Abstract

Precise control of electro-hydraulic actuator (EHA) system has been an interesting subject due to its nonlinearities and uncertainties characteristics. Good control can be designed when precise model of the system is available. ANFIS (Adaptive Neuro-Fuzzy Inference System) modeling technique has proven to be able to model various nonlinear systems. The objective of this paper is to obtain an ANFIS model from EHA system stimulus-response data. The prediction ability of ANFIS is also tested using limited data set for model training. Results show that ANFIS model is able to estimate nonlinear EHA system with high precision, even when training data provided is limited.

Keywords

actuators; adaptive control; electrohydraulic control equipment; fuzzy reasoning; nonlinear control systems; ANFIS modeling; adaptive neuro-fuzzy inference system; electro-hydraulic actuator system; nonlinear systems; Actuators; Adaptation models; Data models; Mathematical model; Predictive models; Training; Training data; ANFIS; Electro-hydraulic actuator; limited data; nonlinear;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and its Applications (CSPA), 2012 IEEE 8th International Colloquium on

Conference_Location

Melaka

Print_ISBN

978-1-4673-0960-8

Type

conf

DOI

10.1109/CSPA.2012.6194697

Filename

6194697