Data-driven adaptive predictive control for an activated sludge process
Data-driven control requires no information of the mathematical model of the controlled process. This paper proposes the direct identification of controller parameters of activated sludge process. This class of data-driven control calculates the predictive controller parameters directly using subspa...
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Institute of Advanced Engineering and Science
2020
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my.utm.917172021-07-27T05:46:22Z http://eprints.utm.my/id/eprint/91717/ Data-driven adaptive predictive control for an activated sludge process Razali, Mashitah C. Abdul Wahab, Norhaliza Ibrahim, Syahira Zainal, Azavitra Rahmat, M. F. Vilanova, Ramon TK Electrical engineering. Electronics Nuclear engineering Data-driven control requires no information of the mathematical model of the controlled process. This paper proposes the direct identification of controller parameters of activated sludge process. This class of data-driven control calculates the predictive controller parameters directly using subspace identification technique. By updating input-output data using receding window mechanism, the adaptive strategy can be achieved. The robustness test and stability analysis of direct adaptive model predictive control are discussed to realize the effectiveness of this adaptive control scheme. The applicability of the controller algorithm to adapt into varying kinetic parameters and operating conditions is evaluated. Simulation results show that by a proper and effective excitation of direct identification of controller parameters, the convergence and stability of the implicit predictive model can be achieved. Institute of Advanced Engineering and Science 2020-10 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/91717/1/NorhalizaAbdulWahab2020_DataDrivenAdaptivePredictiveControl.pdf Razali, Mashitah C. and Abdul Wahab, Norhaliza and Ibrahim, Syahira and Zainal, Azavitra and Rahmat, M. F. and Vilanova, Ramon (2020) Data-driven adaptive predictive control for an activated sludge process. Bulletin of Electrical Engineering and Informatics, 9 (5). pp. 1827-1834. ISSN 2089-3191 http://dx.doi.org/10.11591/eei.v9i5.2257 DOI:10.11591/eei.v9i5.2257 |
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TK Electrical engineering. Electronics Nuclear engineering Razali, Mashitah C. Abdul Wahab, Norhaliza Ibrahim, Syahira Zainal, Azavitra Rahmat, M. F. Vilanova, Ramon Data-driven adaptive predictive control for an activated sludge process |
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Data-driven control requires no information of the mathematical model of the controlled process. This paper proposes the direct identification of controller parameters of activated sludge process. This class of data-driven control calculates the predictive controller parameters directly using subspace identification technique. By updating input-output data using receding window mechanism, the adaptive strategy can be achieved. The robustness test and stability analysis of direct adaptive model predictive control are discussed to realize the effectiveness of this adaptive control scheme. The applicability of the controller algorithm to adapt into varying kinetic parameters and operating conditions is evaluated. Simulation results show that by a proper and effective excitation of direct identification of controller parameters, the convergence and stability of the implicit predictive model can be achieved. |
format |
Article |
author |
Razali, Mashitah C. Abdul Wahab, Norhaliza Ibrahim, Syahira Zainal, Azavitra Rahmat, M. F. Vilanova, Ramon |
author_facet |
Razali, Mashitah C. Abdul Wahab, Norhaliza Ibrahim, Syahira Zainal, Azavitra Rahmat, M. F. Vilanova, Ramon |
author_sort |
Razali, Mashitah C. |
title |
Data-driven adaptive predictive control for an activated sludge process |
title_short |
Data-driven adaptive predictive control for an activated sludge process |
title_full |
Data-driven adaptive predictive control for an activated sludge process |
title_fullStr |
Data-driven adaptive predictive control for an activated sludge process |
title_full_unstemmed |
Data-driven adaptive predictive control for an activated sludge process |
title_sort |
data-driven adaptive predictive control for an activated sludge process |
publisher |
Institute of Advanced Engineering and Science |
publishDate |
2020 |
url |
http://eprints.utm.my/id/eprint/91717/1/NorhalizaAbdulWahab2020_DataDrivenAdaptivePredictiveControl.pdf http://eprints.utm.my/id/eprint/91717/ http://dx.doi.org/10.11591/eei.v9i5.2257 |
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1706956984295620608 |
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13.18916 |