Alsharkawi, A. and Rossiter, J.A. orcid.org/0000-0002-1336-0633 (2016) Dual Mode MPC for a Concentrated Solar Thermal Power Plant. In: IFAC-PapersOnLine. 11th IFAC Symposium on Dynamics and Control of Process SystemsIncluding Biosystems DYCOPS-CAB 2016, 06-08 Jun 2016, Trondheim, Norway. Elsevier , pp. 260-265.
Abstract
A model predictive control strategy for a concentrated solar thermal power plant is proposed. Design of the proposed controller is based on an estimated linear time-invariant state space model around a nominal operating point. The model is estimated directly from input-output data using the subspace identification method and taking into account the frequency response of the plant. Input-output data are obtained from a nonlinear distributed parameter model of a plant rather than the plant itself. 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. 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: | Concentrated solar thermal power plant; Parabolic trough; Nonlinear distributed parameter model; Resonant modes; Subspace identification; Model predictive control |
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: | 05 Jan 2017 14:22 |
Last Modified: | 20 Mar 2018 22:07 |
Published Version: | http://dx.doi.org/10.1016/j.ifacol.2016.07.273 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.ifacol.2016.07.273 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:109311 |
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