Data-driven adaptive model-based predictive control with application in wastewater systems
This study is concerned with the development of a new data-driven adaptive model-based predictive controller (MBPC) with input constraints. The proposed methods employ subspace identification technique and a singular value decomposition (SVD)-based optimisation strategy to formulate the control algo...
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my.utm.448322017-01-31T06:21:54Z http://eprints.utm.my/id/eprint/44832/ Data-driven adaptive model-based predictive control with application in wastewater systems Abd. Wahab, Norhaliza Katebi, R. Balderud, J. Rahmat, M. F. TD Environmental technology. Sanitary engineering This study is concerned with the development of a new data-driven adaptive model-based predictive controller (MBPC) with input constraints. The proposed methods employ subspace identification technique and a singular value decomposition (SVD)-based optimisation strategy to formulate the control algorithm and incorporate the input constraints. Both direct adaptive model-based predictive controller (DAMBPC) and indirect adaptive model-based predictive controller (IAMBPC) are considered. In DAMBPC, the direct identification of controller parameters is desired to reduce the design effort and computational load while the IAMBPC involves a two-stage process of model identification and controller design. The former method only requires a single QR decomposition for obtaining the controller parameters and uses a receding horizon approach to process input / output data for the identification. A suboptimal SVD-based optimisation technique is proposed to incorporate the input constraints. The proposed techniques are implemented and tested on a fourth order non- linear model of a wastewater system. Simulation results are presented to compare the direct and indirect adaptive methods and to demonstrate the performance of the proposed algorithms The Institution of Engineering and Technology 2011 Article PeerReviewed Abd. Wahab, Norhaliza and Katebi, R. and Balderud, J. and Rahmat, M. F. (2011) Data-driven adaptive model-based predictive control with application in wastewater systems. IET Control Theory and Applications, 5 (6). pp. 803-812. ISSN 1751-8644 DOI:10.1049/iet-cta.2010.006 |
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TD Environmental technology. Sanitary engineering Abd. Wahab, Norhaliza Katebi, R. Balderud, J. Rahmat, M. F. Data-driven adaptive model-based predictive control with application in wastewater systems |
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This study is concerned with the development of a new data-driven adaptive model-based predictive controller (MBPC) with input constraints. The proposed methods employ subspace identification technique and a singular value decomposition (SVD)-based optimisation strategy to formulate the control algorithm and incorporate the input constraints. Both direct adaptive model-based predictive controller (DAMBPC) and indirect adaptive model-based predictive controller (IAMBPC) are considered. In DAMBPC, the direct identification of controller parameters is desired to reduce the design effort and computational load while the IAMBPC involves a two-stage process of model identification and controller design. The former method only requires a single QR decomposition for obtaining the controller parameters and uses a receding horizon approach to process input / output data for the identification. A suboptimal SVD-based optimisation technique is proposed to incorporate the input constraints. The proposed techniques are implemented and tested on a fourth order non- linear model of a wastewater system. Simulation results are presented to compare the direct and indirect adaptive methods and to demonstrate the performance of the proposed algorithms |
format |
Article |
author |
Abd. Wahab, Norhaliza Katebi, R. Balderud, J. Rahmat, M. F. |
author_facet |
Abd. Wahab, Norhaliza Katebi, R. Balderud, J. Rahmat, M. F. |
author_sort |
Abd. Wahab, Norhaliza |
title |
Data-driven adaptive model-based predictive control with application in wastewater systems |
title_short |
Data-driven adaptive model-based predictive control with application in wastewater systems |
title_full |
Data-driven adaptive model-based predictive control with application in wastewater systems |
title_fullStr |
Data-driven adaptive model-based predictive control with application in wastewater systems |
title_full_unstemmed |
Data-driven adaptive model-based predictive control with application in wastewater systems |
title_sort |
data-driven adaptive model-based predictive control with application in wastewater systems |
publisher |
The Institution of Engineering and Technology |
publishDate |
2011 |
url |
http://eprints.utm.my/id/eprint/44832/ |
_version_ |
1643651558783582208 |
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13.250246 |