Fuzzy logic based equivalent consumption optimization of a hybrid electric propulsion system for unmanned aerial vehicles

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dc.contributor.author Xie, Ye
dc.contributor.author Savvaris, Al
dc.contributor.author Tsourdos, Antonios
dc.date.accessioned 2018-12-19T15:28:06Z
dc.date.available 2018-12-19T15:28:06Z
dc.date.issued 2018-12-07
dc.identifier.citation Ye Xie, Al Savvaris and Antonios Tsourdos. Fuzzy logic based equivalent consumption optimization of a hybrid electric propulsion system for unmanned aerial vehicles. Aerospace Science and Technology, Volume 85, February 2019, Pages 13-23 en_UK
dc.identifier.issn 1270-9638
dc.identifier.uri https://doi.org/10.1016/j.ast.2018.12.001
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/13762
dc.description.abstract This paper presents an energy management strategy for a hybrid electric propulsion system designed for unmanned aerial vehicles. The proposed method combines the Equivalent Consumption Minimization Strategy (ECMS) and fuzzy logic control, thereby being named Fuzzy based ECMS (F-ECMS). F-ECMS can solve the issue that the conventional ECMS cannot sustain the battery state-of-charge for on-line applications. Furthermore, F-ECMS considers the aircraft safety and guarantees the aircraft landing using the remaining electrical energy if the engine fails. The main contribution of the paper is to solve the deficiencies of ECMS and take into consideration the aircraft safely landing, by implementing F-ECMS. Compared with the combustion propulsion system, the hybrid propulsion system with F-ECMS at least reduces 11% fuel consumption for designed flight missions. The advantages of F-ECMS are further investigated by comparison with the conventional ECMS, dynamic programming and adaptive ECMS. In contrast with ECMS and dynamic programming, F-ECMS can accomplish a balance between sustaining the battery state-of-charge and electric energy consumption. F-ECMS is also superior to the adaptive ECMS because there are less fuel consumption and lower computational cost. en_UK
dc.language.iso en en_UK
dc.publisher El;sevier en_UK
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject UAV en_UK
dc.subject Hybrid electric propulsion system en_UK
dc.subject Equivalent consumption en_UK
dc.subject Optimization en_UK
dc.subject Fuzzy Logic control en_UK
dc.subject Hamiltonian function en_UK
dc.title Fuzzy logic based equivalent consumption optimization of a hybrid electric propulsion system for unmanned aerial vehicles en_UK
dc.type Article en_UK


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