Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150993
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dc.contributor.authorZhang, Yichengen_US
dc.contributor.authorPeng, Gabriel Ooi Heoen_US
dc.contributor.authorBanda, Joseph Kiranen_US
dc.contributor.authorDasgupta, Souviken_US
dc.contributor.authorHusband, Marken_US
dc.contributor.authorSu, Rongen_US
dc.contributor.authorWen, Changyunen_US
dc.date.accessioned2021-06-02T04:30:49Z-
dc.date.available2021-06-02T04:30:49Z-
dc.date.issued2018-
dc.identifier.citationZhang, Y., Peng, G. O. H., Banda, J. K., Dasgupta, S., Husband, M., Su, R. & Wen, C. (2018). An energy efficient power management solution for a fault-tolerant more electric engine/aircraft. IEEE Transactions On Industrial Electronics, 66(7), 5663-5675. https://dx.doi.org/10.1109/TIE.2018.2877169en_US
dc.identifier.issn0278-0046en_US
dc.identifier.other0000-0001-5979-793X-
dc.identifier.other0000-0002-8209-6426-
dc.identifier.other0000-0002-3872-2493-
dc.identifier.other0000-0003-3448-0586-
dc.identifier.other0000-0001-9530-360X-
dc.identifier.urihttps://hdl.handle.net/10356/150993-
dc.description.abstractThis paper provides the concept of design, implementation, and system integration of energy efficient power management solution for a fault-tolerant more electric engine/aircraft (MEE/MEA). The power management solution consists of three components, i.e., the power management system (PMS), the stability analysis module, and the condition-based control (CBC) module. The PMS is to optimize the electrical power system (EPS) level efficiency based on constraints with consideration of power limits of the dc system in the MEE/MEA architecture, which are calculated by the stability analysis module, and system reconfiguration, which is provided by the CBC module. This paper focuses on the design and implementation of PMS algorithm for EPS of a fault-tolerant MEE/MEA architecture. A PMS solution to optimize EPS level efficiency optimization is proposed, which is based on multiple objective optimization problem (MOOP). The proposed MOOP is solved with a modified nondominated genetic algorithm with local search mechanisms. The proposed power management solution are implemented in the MEE/MEA simulation model as well as hardware-in-loop virtual testbed and results show the effectiveness of the proposed algorithm.en_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Transactions on Industrial Electronicsen_US
dc.rights© 2018 IEEE. All rights reserved.en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleAn energy efficient power management solution for a fault-tolerant more electric engine/aircraften_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.contributor.researchRolls-Royce@NTU Corporate Laben_US
dc.identifier.doi10.1109/TIE.2018.2877169-
dc.identifier.scopus2-s2.0-85055886267-
dc.identifier.issue7en_US
dc.identifier.volume66en_US
dc.identifier.spage5663en_US
dc.identifier.epage5675en_US
dc.subject.keywordsCondition-based Control (CBC)en_US
dc.subject.keywordsFault Toleranceen_US
dc.description.acknowledgementThis work was conducted within the Rolls-Royce @ NTU Corporate Lab with support from the National Research Foundation Singapore under the Corp Lab @ University Scheme. (Corresponding author: Yicheng Zhang.)en_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
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