Self-tuning control of an electro-hydraulic actuator system

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 i...

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Main Authors: Ghazali, Rozaimi, Md Sam, Yahaya, Rahmat, Mohd Fua'ad, Jusoff, Kamaruzaman, Zulfatman, Mohd Hashim, Abd Wahab Ishari
Format: Article
Language:English
Published: Exeley 2011
Online Access:http://psasir.upm.edu.my/id/eprint/23904/
http://psasir.upm.edu.my/id/eprint/23904/1/Self.pdf
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author Ghazali, Rozaimi
Md Sam, Yahaya
Rahmat, Mohd Fua'ad
Jusoff, Kamaruzaman
Zulfatman,
Mohd Hashim, Abd Wahab Ishari
author_facet Ghazali, Rozaimi
Md Sam, Yahaya
Rahmat, Mohd Fua'ad
Jusoff, Kamaruzaman
Zulfatman,
Mohd Hashim, Abd Wahab Ishari
author_sort Ghazali, Rozaimi
building UPM Institutional Repository
collection Online Access
description 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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format Article
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institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T08:38:05Z
publishDate 2011
publisher Exeley
recordtype eprints
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spelling upm-239042020-07-14T00:36:10Z http://psasir.upm.edu.my/id/eprint/23904/ Self-tuning control of an electro-hydraulic actuator system Ghazali, Rozaimi Md Sam, Yahaya Rahmat, Mohd Fua'ad Jusoff, Kamaruzaman Zulfatman, Mohd Hashim, Abd Wahab Ishari 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. Exeley 2011-06 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/23904/1/Self.pdf 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 http://s2is.org/Issues/v4/n2/
spellingShingle Ghazali, Rozaimi
Md Sam, Yahaya
Rahmat, Mohd Fua'ad
Jusoff, Kamaruzaman
Zulfatman,
Mohd Hashim, Abd Wahab Ishari
Self-tuning control of an electro-hydraulic actuator system
title Self-tuning control of an electro-hydraulic actuator system
title_full Self-tuning control of an electro-hydraulic actuator system
title_fullStr Self-tuning control of an electro-hydraulic actuator system
title_full_unstemmed Self-tuning control of an electro-hydraulic actuator system
title_short Self-tuning control of an electro-hydraulic actuator system
title_sort self-tuning control of an electro-hydraulic actuator system
url http://psasir.upm.edu.my/id/eprint/23904/
http://psasir.upm.edu.my/id/eprint/23904/
http://psasir.upm.edu.my/id/eprint/23904/1/Self.pdf