Alsharkawi, A. and Rossiter, J.A. orcid.org/0000-0002-1336-0633 (2016) Gain Scheduling Dual Mode MPC for a Solar Thermal Power Plant. In: IFAC-PapersOnLine. 10th IFAC Symposium on Nonlinear Control Systems NOLCOS 2016, 23/08/2016 - 25/08/2016, Monterey, California. Elsevier , pp. 128-133.
Abstract
A nonlinear gain scheduling control strategy is proposed for a concentrated solar thermal power plant. The strategy involves the identification of local linear time-invariant state space models around a family of operating points, the design of corresponding local linear dual mode model-based predictive controllers and the selection of an appropriate scheduling variable to govern the switching. The local models are estimated directly from input-output data using a subspace identification method while taking into account the frequency response of the plant. Input-output data are obtained from a nonlinear simulation model of the plant rather than the plant itself. The effectiveness of the proposed control strategy in terms of tracking and disturbance rejection is evaluated through two different scenarios created in a nonlinear simulation environment.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. This is an author produced version of a paper subsequently published in IFAC-PapersOnLine. 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: | Solar thermal power plant; Subspace identification; Resonant modes; Dual mode model-based predictive control; Nonlinear control; Gain scheduling |
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: | 10 Mar 2017 16:38 |
Last Modified: | 23 Mar 2018 13:34 |
Published Version: | https://doi.org/10.1016/j.ifacol.2016.10.151 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.ifacol.2016.10.151 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:113010 |