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垂直起降固定翼无人机混合动力系统参数匹配

VTOL fixed-wing UAV hybrid system parameter matching
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摘要 燃料电池无人机因其效率高、排放无污染、能量密度高等优点,成为绿色航空研究的热点。燃料电池混合动力系统参数匹配对无人机经济、环保和效率有重要影响。某垂直起降固定翼无人机采用燃料电池+锂离子电池混合动力系统,根据技术指标,对该无人机动力系统各部件进行选型。首先设计燃料电池混合动力系统拓扑结构,对混合动力系统中燃料电池、锂电池、无刷直流电机、螺旋桨、单向DC/DC变换器进行参数匹配;然后根据任务剖面创建负载功率,最后运用有限状态机能量管理控制策略,对混合动力系统进行MATLAB/Simulink仿真分析。结果表明:所设计的燃料电池混合动力系统能很好地满足飞行负载需求和飞行过程中的工况变化,实现了零排放飞行。 Fuel cell UAVs have become a research hotspot in green aviation because of their high efficiency,pollution-free emissions and high energy density.Parameter matching of fuel cell hybrid system has an important impact on the economy,environmental protection and efficiency of UAVs.In this study,a vertical take-off and landing(VTOL) fixed-wing UAV is used as a hybrid system of fuel cell + lithium-ion battery.According to the technical indicators,the components of the UAV power system are selected.Firstly,the topology of fuel cell hybrid system is designed,and the parameters of fuel cell,lithium battery,brushless DC motor,propeller and unidirectional DC/DC converter in the hybrid system are matched.Then,the load power is created according to the task profile,and finally the MATLAB/Simulink simulation analysis of the hybrid system is carried out using the finite state machine energy management control strategy.The results show that the designed fuel cell hybrid system can meet the flight load requirements,meet the changes of working conditions during flight,and achieve zero-emission flight.
作者 任旭东 邓涛 杜童 董鑫 居婷 REN Xudong;DENG Tao;DU Tong;DONG Xin;JU Ting(School of Aeronautics,Chongqing Jiaotong University,Chongqing 400074,China;Chongqing Key Laboratory of Green Aviation Energy and Power,Chongqing 400074,China;The Green Aerotechnics Research Institute,Chongqing Jiaotong University,Chongqing 400074,China)
出处 《航空工程进展》 CSCD 2024年第4期56-63,共8页 Advances in Aeronautical Science and Engineering
基金 国家自然科学基金(52275051) 重庆交通大学自然科学类揭榜挂帅项目(XJ2023000701) 重庆市自然科学基金(CSTB2022NSCQ-LZX0068)。
关键词 垂直起降固定翼无人机 混合动力系统 参数匹配 能量管理 VTOL fixed-wing UAV hybrid system parameter matching energy management
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