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Self-tuning control of an electro-hydraulic actuator system


Citation

Ghazali, Rozaimi and Md Sam, Yahaya and Rahmat, Mohd Fua'ad and Jusoff, Kamaruzaman and Zulfatman, and Mohd Hashim, Abd Wahab Ishari (2011) Self-tuning control of an electro-hydraulic actuator system. International Journal on Smart Sensing and Intelligent Systems, 4 (2). pp. 189-204. ISSN 1178-5608

Abstract

Due to time-varying effects in electro-hydraulic actuator (EHA) system parameters, a self-tuning control algorithm using pole placement and recursive identification is presented. A discrete-time model is developed using system identification method to represent the EHA system and residual analysis is used for model validation. A recursive least square (RLS) method with covariance resetting technique is proposed to estimate parameters of the discrete-time model. The results show the proposed control algorithm can adapt the changes occur in model parameters compared with the fixed controller. In conclusion, a self-tuning control is required in improving the EHS system performance in industrial positioning applications.


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Official URL or Download Paper: http://s2is.org/Issues/v4/n2/

Additional Metadata

Item Type: Article
Divisions: Faculty of Forestry
Publisher: Exeley
Keywords: System identification; Pole placement; Recursive least square; Electro hydraulic actuator system; Self tuning control
Depositing User: Nur Farahin Ramli
Date Deposited: 15 Nov 2013 02:41
Last Modified: 14 Jul 2020 00:36
URI: http://psasir.upm.edu.my/id/eprint/23904
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