Optimal Linear Control of Modular Multi-Level Converters with a Prescribed Degree of Stability

Rakhshani, E; Rouzbehi, K; Escaño, JM; Rueda Torres, J

Optimal Linear Control of Modular Multi-Level Converters with a Prescribed Degree of Stability

Rakhshani, E Rouzbehi, K

Escaño, JM Rueda Torres, J

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Publisher:: TAYLOR & FRANCIS INC
Publication Type:: Journal Article
Citation:: Electric Power Components and Systems, 2020, 48, (1-2), pp. 30-41
Issue Date:: 2020-01-20

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Field	Value	Language
dc.contributor.author	Rakhshani, E
dc.contributor.author	Rouzbehi, K https://orcid.org/0000-0002-3623-4840
dc.contributor.author	Escaño, JM
dc.contributor.author	Rueda Torres, J
dc.date.accessioned	2021-03-22T22:04:01Z
dc.date.available	2021-03-22T22:04:01Z
dc.date.issued	2020-01-20
dc.identifier.citation	Electric Power Components and Systems, 2020, 48, (1-2), pp. 30-41
dc.identifier.issn	1532-5008
dc.identifier.issn	1532-5016
dc.identifier.uri	http://hdl.handle.net/10453/147448
dc.description.abstract	© 2020, © 2020 Taylor & Francis Group, LLC. In this paper, a new control approach using an optimal linear control with prescribed degree of stability for modular multi-level converters (MMC) is presented and analyzed. The proposed controller relies on a linear quadratic regulator with integral action which brings the ability of state variable reference tracking for modular multi-level converters. Since MMC is a complex system with several state variables, a unified control system design for this system is vital. The proposed controller of this study is designed to obtain wider stability margin thanks to the implementation of prescribed degree of stability concept to minimize the quadratic performance index of the control structure. By means of this method, the poles of the closed-loop system will be shifted to the desired places in the left half side of the S-plane. The main advantages of this control strategy compared to previous methods are that it will be possible to control the state of energy for each phase separately, while there will be superior tolerance to nonlinearities and the enhanced stability margin with less sensitivity to plant-parameter variations. The performance of the designed controller is verified through MATLABTM simulations (The MathWorks, Natick, MA, USA) with the nonlinear model of MMC.
dc.language	English
dc.publisher	TAYLOR & FRANCIS INC
dc.relation.ispartof	Electric Power Components and Systems
dc.relation.isbasedon	10.1080/15325008.2020.1732502
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0906 Electrical and Electronic Engineering
dc.subject.classification	Energy
dc.title	Optimal Linear Control of Modular Multi-Level Converters with a Prescribed Degree of Stability
dc.type	Journal Article
utslib.citation.volume	48
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2021-03-22T22:03:57Z
pubs.issue	1-2
pubs.publication-status	Published
pubs.volume	48
utslib.citation.issue	1-2

Abstract:

© 2020, © 2020 Taylor & Francis Group, LLC. In this paper, a new control approach using an optimal linear control with prescribed degree of stability for modular multi-level converters (MMC) is presented and analyzed. The proposed controller relies on a linear quadratic regulator with integral action which brings the ability of state variable reference tracking for modular multi-level converters. Since MMC is a complex system with several state variables, a unified control system design for this system is vital. The proposed controller of this study is designed to obtain wider stability margin thanks to the implementation of prescribed degree of stability concept to minimize the quadratic performance index of the control structure. By means of this method, the poles of the closed-loop system will be shifted to the desired places in the left half side of the S-plane. The main advantages of this control strategy compared to previous methods are that it will be possible to control the state of energy for each phase separately, while there will be superior tolerance to nonlinearities and the enhanced stability margin with less sensitivity to plant-parameter variations. The performance of the designed controller is verified through MATLABTM simulations (The MathWorks, Natick, MA, USA) with the nonlinear model of MMC.

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http://hdl.handle.net/10453/147448