Zabet, K., Rossiter, J.A. orcid.org/0000-0002-1336-0633, Haber, R. et al. (1 more author) (2017) Pole-placement Predictive Functional Control for under-damped systems with real numbers algebra. ISA Transactions, 71 (Part 2). pp. 403-414. ISSN 0019-0578
Abstract
This paper presents the new algorithm of PP-PFC (Pole-placement Predictive Functional Control) for stable, linear under-damped higher-order processes. It is shown that while conventional PFC aims to get first-order exponential behavior, this is not always straightforward with significant under-damped modes and hence a pole-placement PFC algorithm is proposed which can be tuned more precisely to achieve the desired dynamics, but exploits complex number algebra and linear combinations in order to deliver guarantees of stability and performance. Nevertheless, practical implementation is easier by avoiding complex number algebra and hence a modified formulation of the PP-PFC algorithm is also presented which utilises just real numbers while retaining the key attributes of simple algebra, coding and tuning. The potential advantages are demonstrated with numerical examples and real-time control of a laboratory plant.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 ISA. Published by Elsevier Ltd. This is an author produced version of a paper subsequently published in ISA Transactions. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | predictive functional control; pole-placement; under-damped system; real number algebra |
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: | 14 Aug 2017 13:41 |
Last Modified: | 01 Sep 2018 00:39 |
Published Version: | https://doi.org/10.1016/j.isatra.2017.08.002 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.isatra.2017.08.002 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:120109 |