Constrained model predictive control for an induction heating load

Nawaz, M; Saqib, MA; Kashif, SAR; Gul, M

Constrained model predictive control for an induction heating load

Nawaz, M Saqib, MA Kashif, SAR Gul, M

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Publication Type:: Journal Article
Citation:: Transactions of the Institute of Measurement and Control, 2019, 41 (1), pp. 210 - 218
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	Nawaz, M	en_US
dc.contributor.author	Saqib, MA	en_US
dc.contributor.author	Kashif, SAR	en_US
dc.contributor.author	Gul, M	en_US
dc.date.issued	2019-01-01	en_US
dc.identifier.citation	Transactions of the Institute of Measurement and Control, 2019, 41 (1), pp. 210 - 218	en_US
dc.identifier.issn	0142-3312	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133892
dc.description.abstract	© The Author(s) 2018. This paper explores a model predictive control (MPC) strategy with constraints satisfaction for a high power induction heating load. The MPC predicts the state variables and future control sequence of the system in advance and achieves on-line-optimization with a reduced error. The state-space model of the system with a parallel resonant load is developed and then MPC is applied. The proposed approach controls the DC link current at the rectifier output and reactive component of the supply current. The DC current is used to regulate the power of the heating load and the reactive component of input current is kept at zero to attain the unity power factor. The results show that the proposed strategy regulates the power of the heating load, achieves unity power factor at input of the system and handles the variables within the defined constraints effectively.	en_US
dc.relation.ispartof	Transactions of the Institute of Measurement and Control	en_US
dc.relation.isbasedon	10.1177/0142331218758887	en_US
dc.subject.classification	Industrial Engineering & Automation	en_US
dc.title	Constrained model predictive control for an induction heating load	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	41	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.declined	2019-06-13T10:36:17.573+1000
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	41	en_US

Abstract:

© The Author(s) 2018. This paper explores a model predictive control (MPC) strategy with constraints satisfaction for a high power induction heating load. The MPC predicts the state variables and future control sequence of the system in advance and achieves on-line-optimization with a reduced error. The state-space model of the system with a parallel resonant load is developed and then MPC is applied. The proposed approach controls the DC link current at the rectifier output and reactive component of the supply current. The DC current is used to regulate the power of the heating load and the reactive component of input current is kept at zero to attain the unity power factor. The results show that the proposed strategy regulates the power of the heating load, achieves unity power factor at input of the system and handles the variables within the defined constraints effectively.

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http://hdl.handle.net/10453/133892