Research on multi-objective load management method for multi-electric aircraft

Tao Liu; Yu Yan; Hongda Zhang; Zhiyong Fan

doi:10.1117/12.3028983

22 May 2024 Research on multi-objective load management method for multi-electric aircraft

Tao Liu, Yu Yan, Hongda Zhang, Zhiyong Fan

Proceedings Volume 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023); 1317638 (2024) https://doi.org/10.1117/12.3028983
Event: Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 2023, Hangzhou, China

Abstract

As the number of electrical loads in multi-electric aircraft, the load characteristics and constraints become increasingly complex, making it difficult to achieve effective load management through a single management objective. Firstly, a typical multi-electric aircraft distribution network is analysed to determine the priority relationship of load management. And then, according to the load power demand and load characteristics, the load management objective is abstracted as a multi-objective mixed integer programming problem, and a multi-objective load system management method is designed. Finally, the multi-objective load system management method is implemented using the CPLEX OPL modelling language. The simulation results show that the method can effectively achieve load management, meet the pre-defined requirements of multiple objectives and improve the economy of load management.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Tao Liu, Yu Yan, Hongda Zhang, and Zhiyong Fan "Research on multi-objective load management method for multi-electric aircraft", Proc. SPIE 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 1317638 (22 May 2024); https://doi.org/10.1117/12.3028983

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