[160]DILLSAVER M J, CESNIK C E S, KOLMANOVSKY I V. Trajectory control of very flexible aircraft with gust disturbance[C]//Proceedings of the AIAA Atmospheric Flight Mechanics (AFM) Conference. Boston, MA: AIAA, 2013: 1. DOI: 10.2514/6.2013-4745

[161]吴海仙, 俞文伯, 房建成. 高空长航时无人机SINS/CNS组合导航系统仿真研究[J]. 航空学报, 2006, 27(2): 299

WU Haixian, YU Wenbo, FANG Jiancheng. Simulation of SINS/CNS integrated navigation system used on high altitude and long-flight-time unpiloted aircraft[J]. Acta Aeronautica et Astronautica Sinica, 2006, 27(2): 299. DOI: 10.3321/j.issn: 1000-6893.2006.02.027

[162]WU Xiaojuan, WANG Xinlong. A SINS/CNS deep integrated navigation method based on mathematical horizon reference[J]. Aircraft Engineering and Aerospace Technology, 2011, 83(1): 26. DOI: 10.1108/00022661111119892

[163]QUAN Wei, FANG Jiancheng, XU Fan, et al. Hybrid simulation system study of SINS/CNS integrated navigation[J]. IEEE Aerospace and Electronic Systems Magazine, 2008, 23(2):17. DOI: 10.1109/maes.2008.4460727

[164]YANG Bo, WANG Yuegang, CHAI Yan. High accuracy and reliability integrated navigation method for long-endurance aircraft[C]// Proceedings of the 9th International Conference on Hybrid Intelligent Systems (HIS 2009). Shenyang, China: IEEE Computer Society, 2009: 1. DOI：10.1109/HIS.2009.91

[165]周姜滨, 袁建平, 罗建军, 等. 高空长航时无人机导航系统研究[J]. 西北工业大学学报, 2008, 26(4): 463

ZHOU Jiangbin, YUAN Jianping, LUO Jianjun, et al. Navigation system of HALE UAV (high altitude long endurance unmanned aerial vehicle)[J]. Journal of Northwestern Polytechnical University, 2008, 26(4):463. DOI：10.3969/j.issn.1000-2758.2008.04.014

[166]ZHANG Zengan, CHEN Xin, ZHOU Yueping. Implementation of a distributed fault-tolerant computer for UAV[C]//Proceedings of the 2010 International Conference on Electrical and Control Engineering. Wuhan, China: IEEE, 2010: 1. DOI: 10.1109/iCECE.2010.1278

[167]HEYDARZADEH M, NOURANI M. A two-stage fault detection and isolation platform for industrial systems using residual evaluation[J]. IEEE Transactions on Instrumentation and Measurement, 2016, 65(10): 2424. DOI: 10.1109/TIM.2016.2575179

[168]WANG Zheng, ANAND D M, MOYNE J, et al. Improved sensor fault detection, isolation, and mitigation using multiple observers approach[J]. Systems Science & Control Engineering, 2017, 5(1): 70, DOI: 10.1080/21642583.2016 1278410

[169]ZANOLI S M, ASTOLFI G. Application of a fault detection and isolation system on a rotary machine[J]. International Journal of Rotating Machinery, 2013: 1. DOI: 10.1155/2013/189359

[170]曾国奇, 向锦武, 赵民强. 一种基于卫星通信的无人机导航数据被欺骗识别方法: 201510666815.8[P]. 2016-01-13

A review of key technologies for long-endurance unmanned aerial vehicle

XIANG Jinwu1,2, KAN Zi2, SHAO Haoyuan2, LI Huadong2, DONG Xin2, LI Daochun2

(1.Institute of Unmanned System， Beihang University， Beijing 100083， China；2.School of Aeronautic Science and Engineering， Beihang University， Beijing 100083， China)

Abstract: To investigate the development trends and challenges of long-endurance unmanned aerial vehicle (UAV), the research status of key technologies were analyzed and summarized. Long-endurance UAV has extensive application prospects because of its characteristics of high flight height, long operation time, and wide operation coverage. First, the representative long-endurance UAVs in the world were classified based on conventional power and new energy power, and the development history of long-endurance UAV was reviewed. Based on the demand of high lift, high lift-drag ratio, and moderate stall aerodynamic characteristics of long-endurance UAV, the large flexibility of high-aspect-ratio composite wing, and the complex mission environment of long-endurance UAV, the key technologies were analyzed, including high efficiency aerodynamic integrated design technology, aeroelastic analysis of high-aspect-ratio wing and active control technology, aeroelastic tailoring technology, flexible flight dynamics modeling and control technology, and autonomous navigation technology, etc. Finally, combined with the development situations of foreign long-endurance UAV, suggestions for the development of long-endurance UAV in China were put forward. Research shows that the conventional power long-endurance UAV has been widely used, while the new energy power long-endurance UAV is still in the prototype development stage. Technologies applied on the ultra-long-endurance UAV which has a duration of more than a week have become the focus of attention. The intelligence, collaboration, and network security of long-endurance UAV systems will be the main development directions in the future.