Hybrid nonlinear model predictive control of a cooling water network

Viljoen, Johannes Henning; Muller, Cornelius Jacobus; Craig, Ian Keith

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dc.contributor.author	Viljoen, Johannes Henning
dc.contributor.author	Muller, Cornelius Jacobus
dc.contributor.author	Craig, Ian Keith
dc.date.accessioned	2020-05-27T14:37:17Z
dc.date.issued	2020-04
dc.description.abstract	A Hybrid Nonlinear Model Predictive Control (HNMPC) strategy is developed for temperature control and power consumption minimisation of a cooling water network. The HNMPC uses a gradient descent optimisation algorithm for the continuous manipulated variables, and an enumerated tree traversal algorithm to control and optimise the Boolean manipulated variables. The HNMPC is subjected to disturbances similar to those experienced on a real plant, and its performance compared to a continuous Nonlinear Model Predictive Control (NMPC) and two base case scenarios. Power consumption is minimised, and process temperature disturbances are successfully rejected. Monetary benefits of the HNMPC control strategy are estimated.	en_ZA
dc.description.department	Electrical, Electronic and Computer Engineering	en_ZA
dc.description.embargo	2021-04-01
dc.description.librarian	hj2020	en_ZA
dc.description.sponsorship	The National Research Foundation of South Africa	en_ZA
dc.description.uri	http://www.elsevier.com/locate/conengprac	en_ZA
dc.identifier.citation	Viljoen, J.H., Muller, C.J. & Craig, I.K. 2020, 'Hybrid nonlinear model predictive control of a cooling water network', Control Engineering Practice, vol. 97, art. 104319, pp. 1-18.	en_ZA
dc.identifier.issn	0967-0661 (print)
dc.identifier.issn	1873-6939 (online)
dc.identifier.other	10.1016/j.conengprac.2020.104319
dc.identifier.uri	http://hdl.handle.net/2263/74757
dc.language.iso	en	en_ZA
dc.publisher	Elsevier	en_ZA
dc.rights	© 2020 Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Control Engineering Practice. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Control Engineering Practice, vol. 97, art. 104319, pp. 1-18, 2020. doi : 10.1016/j.conengprac.2020.104319.	en_ZA
dc.subject	Hybrid nonlinear model predictive control (HNMPC)	en_ZA
dc.subject	Nonlinear model predictive control (NMPC)	en_ZA
dc.subject	Cooling tower	en_ZA
dc.subject	Cooling water network	en_ZA
dc.subject	Optimisation	en_ZA
dc.subject	Gradient descent	en_ZA
dc.subject	Hybrid systems	en_ZA
dc.subject	Electricity consumption minimisation	en_ZA
dc.title	Hybrid nonlinear model predictive control of a cooling water network	en_ZA
dc.type	Postprint Article	en_ZA