无人机无动力返场航迹规划与控制仿真

系统仿真学报 ›› 2016, Vol. 28 ›› Issue (1): 220-226.

无人机无动力返场航迹规划与控制仿真

张毅君¹, 董一群¹, 詹光², 艾剑良¹

1.复旦大学力学与工程科学系复旦大学飞行器设计研究所, 上海 200433;
2.沈阳飞机设计研究所,沈阳 110035

收稿日期:2014-09-01 修回日期:2015-03-17 发布日期:2020-07-02
作者简介:张毅君(1989-),男,上海,硕士,研究方向为飞行力学与飞行控制;董一群(1990-),男,宿迁,博士,研究方向为飞行力学与飞行控制;詹光(1980-),男,沈阳,硕士,高工,研究方向为飞行器设计。

Path Planning and Control Simulation of Unpowered Unmanned Aerial Vehicle (UAV) Returning to The Airport

Zhang Yijun¹, Dong Yiqun¹, Zhan Guang², Ai Jianliang¹

1. Institute of Aircraft Design, Department of Mechanics and engineering science, Fudan University, Shanghai 200433, China;
2. Institute of Shenyang Aircraft Design, Shenyang 110035, China

Received:2014-09-01 Revised:2015-03-17 Published:2020-07-02

摘要/Abstract

摘要： 无人机无动力返场是飞行过程中风险巨大、技术复杂的环节,是影响无人机飞行安全的关键阶段。从无人机滑翔过程中的能量变化出发,研究无人机无动力返场飞行的基本控制策略及返场航迹规划,提出了返程平均阻力的计算方法。在无障碍条件下,建立了返程着陆飞行控制规律模型。仿真结果表明方法行之有效,为下一步无人机无动力在规定区域安全着陆的边界包线的计算奠定了基础。

关键词: 无人机, 无动力返场, 控制策略, 航迹规划, 返场平均阻力

Abstract: The unpowered Unmanned Aerial Vehicle (UAV) return to the airport unpoweredly is a link of large risk and complex technology during the flight, and it is the key stage which affects the flight safety of the UAV. The basic control strategy and path planning of the unpowered UAV's back to the airport were studied, and the method which calculated the average drag of the return was proposed. Under the condition of multiple constraints, the flight control model of the UAV's return was established. It is proved that the result of the simulation is effective and has built a foundation for the calculation of the boundary envelope which the unpowered UAV can safely land in the designated areas.

Key words: UAV, back to the airport unpoweredly, control strategy, flight path planning, average drag of the return

中图分类号:

TP391.9

张毅君, 董一群, 詹光, 艾剑良. 无人机无动力返场航迹规划与控制仿真[J]. 系统仿真学报, 2016, 28(1): 220-226.

Zhang Yijun, Dong Yiqun, Zhan Guang, Ai Jianliang. Path Planning and Control Simulation of Unpowered Unmanned Aerial Vehicle (UAV) Returning to The Airport[J]. Journal of System Simulation, 2016, 28(1): 220-226.

参考文献

[1] P Eng, L Mejias, X Liu, et al.Automating Human Thought Processes for a UAV Forced Landing[J]. Journal of Intelligent & Robotic Systems (S0921-0296), 2010, 57(4): 329-350.
[2] Redelighuys Christiaan.A Flight Simulation Algorithm for a Parafoil Suspending an Air Vehicle[J]. Journal of Guidance, Control, and Dynamics (S0731-5090), 2007, 30(3): 791-803.
[3] G Ambrosino, M Ariola, U Ciniglio, et al.Algorithms for 3D UAV Path Generation and Tracking[J]. IEEE Conference on Decision & Control (S0743-1546), 2006: 5275-5280.
[4] S Park, J Deyst, JP How. Performance and lyapunovstability of a nonlinear path-following guidance method[J]. Journal of Guidance Control & Dynamics (S0731-5090), 2007, 30(6):1718-1728.
[5] Ella M Atkins, Igor Alonso Portillo, Matthew J Strube.Emergency Flight Planning Applied to Total Loss of Thrust[J]. Journal of Aircraft (S0021-8669), 2006, 43(4): 1205-1216.
[6] Robert Watts, H Claus Christmann, Eric N Johnson, et al. Development and Evaluation of an Automated Path Planning Aid[J]. Journal of Aircraft (S0021-8669), 2007, 49(6): 1774-1785.
[7] Ted L Chen, Amy R Pritchett.Development and Evaluation of a Cockpit Decision Aid for Emergency Trajectory Generation[J]. Journal of Aircraft (S0021-8669), 2001, 38(5): 935-943.
[8] 张健. 无人机无动力应急着陆控制技术研究 [D]. 南京: 南京航空航天大学, 2012: 5-6.
[9] 张健, 陈欣, 李春涛. 无人机应急着陆控制技术研究[J]. 伺服控制, 2012, 4: 36-39.
[10] L E Dubins.On Curves of Minimal Length with a Constraint on Average Curvature, and with Prescribed Initial and Terminal Positions and Tangents[J]. American Journal of Mathematics (S0002-9327), 1957, 79(3): 497-516.
[11] 吴森堂. 飞行控制系统[M]. 北京: 北京航空航天大学出版社, 2006: 191-270.
[12] 秦硕, 孙秀霞, 刘艳芳, 等. 无人机自主低空突防航迹控制系统设计[J]. 电光与控制, 2008, 15(4): 34-38.

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