Recursive parameter estimation for discrete-time model of an electro-hydraulic servo system with varying forgetting factor

Ghazali, Rozaimi and Sam, Y. M. and Rahmat, M. F. and Zulfatman, Zulfatman (2011) Recursive parameter estimation for discrete-time model of an electro-hydraulic servo system with varying forgetting factor. International Journal of the Physical Sciences, 6 (30). pp. 6829-6842. ISSN 1992-1950

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Official URL: http://dx.doi.org/10.5897/IJPS11.639

Abstract

In general, an electro-hydraulic servo (EHS) system inherently suffers from parameter uncertainties and variation which makes the modeling and controller design complicated. To encounter those difficulties, recursive least square (RLS) is often used with advanced control strategy for position, force and pressure control of the EHS system. In this paper, a new RLS estimator with varying forgetting factor was proposed for the recursive parameter estimation process. The experimental work began with an organized procedure in developing a linear discrete-time model by emphasizing the offline identification process. Best fitting criterion, final prediction errors, minimum of loss function and correlation analysis were utilized to investigate the validity of the developed model. In recursive estimation, the proposed technique gave better estimations in terms of convergence speed and accuracy as compared to the conventional approach. Furthermore, it also showed that algorithm is more sensitive to parameter changes and improves the estimation results for each estimated parameter instead of using fixed forgetting factor.

Item Type:Article
Uncontrolled Keywords:electro-hydraulic servo system; system identification; parameter estimation; recursive least square
Subjects:T Technology > TJ Mechanical engineering and machinery > TJ836-935 Hydraulic machinery
Divisions:Faculty of Electrical and Electronic Engineering > Department of Robotic and Mechatronic Engineering
ID Code:3908
Deposited By:Normajihan Abd. Rahman
Deposited On:20 Jun 2013 12:02
Last Modified:22 Jan 2015 08:35

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