Aftab, M.S. and Rossiter, J.A. orcid.org/0000-0002-1336-0633 (2021) Pre-stabilised predictive functional control for open-loop unstable dynamic systems. In: Pannocchia, G., Johansen, T.A., Mönnigmann, M., Kvasnica, M. and Klaučo, M., (eds.) IFAC-PapersOnLine. 7th IFAC Conference on Nonlinear Model Predictive Control NMPC 2021, 11-14 Jul 2021, Virtual conference (Bratislava, Slovakia). Elsevier , pp. 147-152.
Abstract
Predictive functional control (PFC) is the simplest model-based algorithm, equipped with the attributes of a fully fledged predictive controller but at the cost and complexity threshold of a standard PID regulator. It has proven benefits in controlling stable SISO dynamic systems, but similarly to its competitor PID, it loses efficacy when a challenging application is introduced. In this paper, we present a modified PFC approach, especially tailored for open-loop unstable processes, using pre-stabilisation to efficiently control the undesirable dynamics at hand. This is essentially a two-stage design scheme with implications for PFC tuning and constraint handling. The proposal, nevertheless, is straightforward and intuitive, and provides improved closed-loop control in the presence of external perturbations against the standard PFC, and significantly better performance overall compared to the common PID algorithm, as demonstrated in a numerical case-study.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2021 The Authors. This is an open access article under the CC BY-NC-ND license. (http://creativecommons.org/licenses/by-nc-nd/4.0) |
Keywords: | PFC; coincidence point; feedback compensation; pre-stabilisation |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 07 May 2021 07:04 |
Last Modified: | 22 Oct 2021 13:36 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.ifacol.2021.08.537 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:173546 |