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Efficient suboptimal parametric solutions to predictive control for PLC applications

Valencia-Palomo, G. and Rossiter, J.A. (2011) Efficient suboptimal parametric solutions to predictive control for PLC applications. Control Engineering Practice, 19 (7). pp. 732-743. ISSN 0967-0661

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Abstract

The prime aim of this paper is to embed a predictive control (MPC) algorithm with constraint handling capabilities into a programmable logic controller (PLC). In order to achieve it, this paper develops parametric approaches to MPC but differs from more conventional approaches in that it predefines the complexity of the solution rather than the allowable suboptimality. The paper proposes a novel parameterisation of the parametric regions which allows efficiency of definition, effective spanning of the feasible region and also highly efficient search algorithms. Despite the suboptimality, the algorithm retains guaranteed stability, in the nominal case. A laboratory test was carried out to demonstrate the code on real hardware and the effectiveness of the solution. (C) 2011 Elsevier Ltd. All rights reserved.

Item Type: Article
Copyright, Publisher and Additional Information: © 2011 Elsevier. This is an author produced version of a paper subsequently published in Control Engineering Practice. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Predictive control; Multi-parametric quadratic programming; PLC
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: Miss Anthea Tucker
Date Deposited: 15 Aug 2011 15:12
Last Modified: 08 Feb 2013 17:33
Published Version: http://dx.doi.org/10.1016/j.conengprac.2011.04.001
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: 10.1016/j.conengprac.2011.04.001
URI: http://eprints.whiterose.ac.uk/id/eprint/43194

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