Generalized Sequential Model Predictive Control of Induction Motor Drives

Zhang, Y; Zhang, B; Yang, H; Norambuena, M; Rodriauez, J

Generalized Sequential Model Predictive Control of Induction Motor Drives

Zhang, Y Zhang, B Yang, H

Norambuena, M Rodriauez, J

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Publication Type:: Conference Proceeding
Citation:: ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems, 2018, pp. 1285 - 1290
Issue Date:: 2018-11-27

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Field	Value	Language
dc.contributor.author	Zhang, Y	en_US
dc.contributor.author	Zhang, B	en_US
dc.contributor.author	Yang, H https://orcid.org/0000-0002-4987-5794	en_US
dc.contributor.author	Norambuena, M	en_US
dc.contributor.author	Rodriauez, J	en_US
dc.date.issued	2018-11-27	en_US
dc.identifier.citation	ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems, 2018, pp. 1285 - 1290	en_US
dc.identifier.isbn	9788986510201	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133985
dc.description.abstract	© 2018 KIEE EMECS (KIEE Electrical Machinery and Energy Conversion Systems). A very simple sequential model predictive control (SMPC) is recently proposed to achieve high performance control of induction motor (IM) drives. By evaluating two separate cost functions for torque and stator flux amplitude in a cascaded way, the weighting factor in conventional MPC is eliminated. However, SMPC cannot achieve stable operation over the full speed range. if the cost function for stator flux is firstly evaluated. This paper proposes a generalized SMPC which is effective when anyone of the two cost functions is firstly evaluated. This increases the stability and universality of conventional SMPC. The experimental results confirms the effectiveness of the proposed method.	en_US
dc.relation.ispartof	ICEMS 2018 - 2018 21st International Conference on Electrical Machines and Systems	en_US
dc.relation.isbasedon	10.23919/ICEMS.2018.8549339	en_US
dc.title	Generalized Sequential Model Predictive Control of Induction Motor Drives	en_US
dc.type	Conference Proceeding
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
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2018 KIEE EMECS (KIEE Electrical Machinery and Energy Conversion Systems). A very simple sequential model predictive control (SMPC) is recently proposed to achieve high performance control of induction motor (IM) drives. By evaluating two separate cost functions for torque and stator flux amplitude in a cascaded way, the weighting factor in conventional MPC is eliminated. However, SMPC cannot achieve stable operation over the full speed range. if the cost function for stator flux is firstly evaluated. This paper proposes a generalized SMPC which is effective when anyone of the two cost functions is firstly evaluated. This increases the stability and universality of conventional SMPC. The experimental results confirms the effectiveness of the proposed method.

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http://hdl.handle.net/10453/133985