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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my.upm.eprints.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/ |
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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. |
format |
Article |
author |
Ghazali, Rozaimi Md Sam, Yahaya Rahmat, Mohd Fua'ad Jusoff, Kamaruzaman Zulfatman, Mohd Hashim, Abd Wahab Ishari |
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 |
author_facet |
Ghazali, Rozaimi Md Sam, Yahaya Rahmat, Mohd Fua'ad Jusoff, Kamaruzaman Zulfatman, Mohd Hashim, Abd Wahab Ishari |
author_sort |
Ghazali, Rozaimi |
title |
Self-tuning control of an electro-hydraulic actuator system |
title_short |
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_sort |
self-tuning control of an electro-hydraulic actuator system |
publisher |
Exeley |
publishDate |
2011 |
url |
http://psasir.upm.edu.my/id/eprint/23904/1/Self.pdf http://psasir.upm.edu.my/id/eprint/23904/ http://s2is.org/Issues/v4/n2/ |
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