Title :
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
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;
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
DOI :
10.1109/SCORED.2009.5442965
