On-line identification of an electro-hydraulic system using recursive least square

Author

Ghazali, Rozaimi ; Sam, Yahaya Md ; Rahmat, Mohd Fua´ad ; Zulfatman

Author_Institution

Fac. of Electr. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia

fYear

2009

fDate

16-18 Nov. 2009

Firstpage

471

Lastpage

474

Abstract

This paper presents experimental on-line identification of an electro-hydraulic system represented by a discrete time model. A recursive least square (RLS) method is used to estimate the unknown parameters of the system based on auto regression with exogenous input (ARX) model. Residual analysis is used for model validation. Results are presented which show variations in parameters of the electro-hydraulic system.

Keywords

actuators; electrohydraulic control equipment; least squares approximations; recursive estimation; regression analysis; ARX model; autoregression-with-exogenous input; electrohydraulic system identification; model validation; online identification; recursive least square; residual analysis; Actuators; Context modeling; Fluid flow control; Force control; Least squares approximation; Least squares methods; Nonlinear dynamical systems; Parameter estimation; Recursive estimation; System identification; Electro-hydraulic system; Recursive least square; System identification; auto regression with exogenous input;

fLanguage

English

Publisher

ieee

Conference_Titel

Research and Development (SCOReD), 2009 IEEE Student Conference on

Conference_Location

UPM Serdang

Print_ISBN

978-1-4244-5186-9

Electronic_ISBN

978-1-4244-5187-6

Type

conf

DOI

10.1109/SCORED.2009.5442965

Filename

5442965