Aftab, M.S., Rossiter, J.A. orcid.org/0000-0002-1336-0633 and Zhang, Z. (2020) Predictive functional control for unstable first-order dynamic systems. In: Gonçalves, J.A., Braz-César, M. and Coelho, J.P., (eds.) CONTROLO 2020: Proceedings of the 14th APCA International Conference on Automatic Control and Soft Computing. Controlo 2020: 14th International Conference on Automatic Control and Soft Computing, 01-03 Jul 2020, Bragança, Portugal. Lecture Notes in Electrical Engineering, 695 . Springer , pp. 12-22. ISBN 9783030586522
Abstract
Predictive functional control (PFC) has emerged as a popular industrial choice owing to its simplicity and cost-effectiveness. Nevertheless, its efficacy diminishes when dealing with challenging dynamics because of prediction mismatch in such scenarios. This paper presents a proposal for reducing prediction mismatch and thus improving behaviour for simple unstable processes; a two-stage design methodology pre-stabilises predictions via proportional compensation before introducing the PFC component. It is demonstrated that pre-stabilisation reduces the dependency of the closed-loop pole on the coincidence point and also improves robustness to uncertainty. Simulation results verify the improved performance as compared to conventional PFC.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. This is an author-produced version of a paper subsequently published in Gonçalves J.A., Braz-César M., Coelho J.P. (eds) CONTROLO 2020. CONTROLO 2020. Lecture Notes in Electrical Engineering, vol 695. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | PFC; coincidence horizon; pre-stabilisation; proportional compensation |
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: | 18 May 2020 09:45 |
Last Modified: | 09 Sep 2021 00:38 |
Status: | Published |
Publisher: | Springer |
Series Name: | Lecture Notes in Electrical Engineering |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-030-58653-9_2 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:160810 |