面向货运任务的混电垂直起降无人机能量管理策略和任务路径综合优化
收稿日期: 2023-09-19
修回日期: 2023-10-23
录用日期: 2023-12-22
网络出版日期: 2023-12-26
基金资助
中央高校基本科研业务费项目(56XCA2205402)
Integrated optimization of energy management strategy and mission path for hybrid-electric VTOL UAVs in cargo transportation
Received date: 2023-09-19
Revised date: 2023-10-23
Accepted date: 2023-12-22
Online published: 2023-12-26
Supported by
Fundamental Research Funds for the Central Universities(56XCA2205402)
针对混电垂直起降无人机货运任务降低能耗和任务成本的需求，提出了混电垂直起降无人机能量管理策略和任务路径综合优化方法。综合考虑垂起、前飞和转换模态下的功率需求、电池充放电特性、发动机燃油特性，搭建了垂直起降无人机混电推进系统能耗模型，提出了基于动态规划的垂直起降无人机混电系统能量管理策略，构建了能量管理策略和货运任务路径综合优化模型以及基于最短路径解算器和动态规划解算器的二级效用评价体系。利用该方法，对2个案例进行了整体运行路径及各架次的能量管理方案的优化。结果表明，相较于最短路径优化，所提方法能够综合考虑混电系统管理策略和运行路径对能耗的影响，在满足多种约束的前提下，可规划出合理的运行路径及对应的能量管理方案，实现了任务成本最小化。
何程 , 童玉奇 , 夏兴禄 , 陈刚 . 面向货运任务的混电垂直起降无人机能量管理策略和任务路径综合优化[J]. 航空学报, 2024 , 45(14) : 229606 -229606 . DOI: 10.7527/S1000-6893.2023.29606
Aiming at the demand of reducing energy consumption and cost for hybrid-electric Vertical Take-Off and Landing （VTOL） UAV cargo transportation missions， an integrated optimization method for energy management strategy and mission path is proposed. A hybrid-electric VTOL UAV energy consumption model is constructed by comprehensively considering the power demand in vertical flight， forward flight and transition modes， battery charging and discharging characteristics， and engine fuel consumption characteristics. An energy management strategy of hybrid-electric VTOL UAV based on dynamic programming is proposed， and an integrated optimization model of energy management strategy and cargo transportation mission path， as well as a secondary utility evaluation system based on the shortest path solver and dynamic programming solver are constructed. With this method， the overall operation path and the energy management scheme of each sortie are optimized for two cases. The results show that the proposed method can comprehensively consider the effects of hybrid-electric system management strategy and operation path on energy consumption compared with the shortest path optimization， so that a reasonable operation path and corresponding energy management scheme can be planned to minimize the mission cost while satisfying multiple constraints.
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