Aftab, M.S., Rossiter, J.A. orcid.org/0000-0002-1336-0633 and Panoutsos, G. (2022) Predictive functional control for difficult second-order dynamics with a simple pre-compensation strategy. In: Proceedings of 2022 UKACC 13th International Conference on Control (CONTROL). 2022 UKACC 13th International Conference on Control (CONTROL), 20-22 Apr 2022, Plymouth, UK. Institute of Electrical and Electronics Engineers , pp. 12-17. ISBN 9781665452014
Abstract
Predictive functional control (PFC) is a fairly straightforward model-based technique for controlling stable and monotonically convergent dynamics in a systematic fashion. However, owing to simplified design assumptions, the control performance generally degrades with oscillatory or unstable processes. This paper focuses on pre-stabilising such difficult dynamics, represented as second-order prediction models, before implementing the PFC. In this proposal, the pre-compensator is designed with a root locus method that shifts the undesirable open-loop poles to the stable break-in/breakaway position by varying compensator gain. It has been highlighted that such dynamics transformation enables PFC application in the standard manner by preserving design simplicity and intuitiveness in terms of parameter tuning and constraint handling. Two simulation examples are included to study the pros and cons of the proposal against the conventional PFC algorithm.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | predictive functional control; root locus; pre-compensation; constraint handling |
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: | 04 Mar 2022 07:30 |
Last Modified: | 27 May 2023 00:13 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Refereed: | Yes |
Identification Number: | 10.1109/Control55989.2022.9781367 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:184090 |