Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/45127

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Title
Modification of model predictive control to reduce cross-coupling
Author/Creator
Middleton, R. H.;  Adams, G. J.
Institution
The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
Description
We consider the problem of reducing interaction in the closed-loop response of model predictive control (MPC). Interaction in MPC may be caused by diagonal weighting of inputs in the MPC cost function that are not diagonally related to the outputs. If instead of weighting the plant inputs a suitable decoupled input signal is used in the MPC cost function, then a significant reduction in cross coupling can occur. In the case where the plant has a static interaction matrix, complete decoupling occurs. Simulation examples show that the procedure can be implemented via a simple modification to standard MPC algorithms, and is applicable to ill-conditioned and non-minimum phase plants.
Relation
17th World Congress of the International Federation of Automatic Control. Proceedings of the 17th World Congress of the International Federation of Automatic Control (Seoul, Korea 6-11 July, 2008) p. 9940-9945
Relation
http://www.ifac-papersonline.net/Detailed/37375.html
Date
2008
Publisher
International Federation of Automatic Control (IFAC)
Keyword(s)
decentralization;  controller constraints and structure;  model predictive control (MPC)
Resource Type
conference paper
Identifier
http://hdl.handle.net/1959.13/45127
Identifier
ISBN:9781123478902
Reviewed
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Subject
"Modification of model predictive control to reduce cross-coupling"
 
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