Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150993
Title: An energy efficient power management solution for a fault-tolerant more electric engine/aircraft
Authors: Zhang, Yicheng
Peng, Gabriel Ooi Heo
Banda, Joseph Kiran
Dasgupta, Souvik
Husband, Mark
Su, Rong
Wen, Changyun
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: Zhang, 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.2018.2877169
Journal: IEEE Transactions on Industrial Electronics
Abstract: This 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.
URI: https://hdl.handle.net/10356/150993
ISSN: 0278-0046
DOI: 10.1109/TIE.2018.2877169
Rights: © 2018 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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