基于多指标动态优先级的无人机协同路径规划

doi:10.7527/S1000-6893.2023.28816

Abstract

Abstract:

To save operation costs and increase efficiency for collaborative inspection, distribution, and other tasks of multiple Unmanned Aerial Vehicles (UAVs) in complex urban environments, a cooperative path planning method is proposed based on multi-index dynamic priority. A dynamic priority model is constructed through a comprehensive consideration of the indices such as collision risk, total distance, and waiting time. Under the priority-based unilateral collision avoidance mechanism, a combined avoidance strategy is customized to handle local conflicts, so as to balance the planning efficiency and route quality. For individual path planning, a congestion weighted map is introduced into the Lazy Theta* algorithm to guide UAV to avoid congested areas and reduce the conflict possibility. Comparative simulation experiments show that the proposed individual planning algorithm can reduce congestion areas and congestion duration, and the proposed multi-index dynamic priority cooperative planning algorithm can improve planning efficiency and route optimality compared to the flight-time driven dynamic priority.

Key words: multi-UAV system, cooperative path planning, multi-index dynamic priority, Lazy Theta* algorithm, congestion weighted map, combined avoidance strategy

CLC Number:

V279

Zhu WANG, Mengtong ZHANG, Zhenpeng ZHANG, Guangtong XU. Multi-UAV cooperative path planning based on multi-index dynamic priority[J]. Acta Aeronautica et Astronautica Sinica, 2024, 45(4): 328816-328816.

Figures/Tables 20

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References 23

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确定优先级	总路程	等待时间	剩余路程比
总路程	a₁₁	a₁₂	a₁₃
等待时间	a₂₁	a₂₂	a₂₃
剩余路程比	a₃₁	a₃₂	a₃₃

确定优先级	总路程	等待时间	剩余路程比
总路程	1	3	5
等待时间	1/3	1	3
剩余路程比	1/5	1/3	1

无人机规模/架	求解结果	多指标动态优先级/s	飞行时间驱动的动态优先级/s
5	任务完成时间	115.11	112.10
5	规划耗时	0.88	5.88
10	任务完成时间	119.82	128.05
10	规划耗时	5.18	20.20
15	任务完成时间	120.14	123.94
15	规划耗时	5.54	10.62

无人机规模/架	迭代步数	发生冲突的无人机编号组合及其优先级结果
无人机规模/架	迭代步数	飞行时间驱动动态优先级	多指标动态优先级
5	4	｛3， 1｝，｛1， 4｝，｛3， 5｝，｛3， 4｝，｛5， 4｝	｛1， 4｝，｛5， 1｝，｛3， 2｝，｛5， 4｝
10	10	｛9， 1｝，｛5， 8｝，｛5， 9｝，｛5， 7｝	｛1， 9｝，｛8， 6｝，｛8， 9｝，｛8， 1｝
15	22	｛8， 1｝，｛14， 2｝，｛8， 13｝，｛10， 9｝	｛14， 2｝，｛11， 9｝，｛11， 15｝

无人机规模/架	求解结果	WM-Lazy Theta*/s	Lazy Theta*/s
5	任务完成时间	115.11	110.24
5	规划耗时	0.88	2.18
10	任务完成时间	119.82	114.45
10	规划耗时	5.18	15.85
15	任务完成时间	120.14	126.12
15	规划耗时	5.54	15.81

Multi-UAV cooperative path planning based on multi-index dynamic priority

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无人机规模/架	求解结果	组合规避策略/s	重规划策略/s	等待策略/s
5	任务完成时间	115.11	111.96	117.20
5	规划耗时	0.88	1.26	0.12
10	任务完成时间	119.82	117.87	137.11
10	规划耗时	5.18	7.86	0.75
15	任务完成时间	120.14	118.3	151.96
15	规划耗时	5.54	9.3	2.76

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