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基于阿波罗尼奥斯圆的无人机追逃问题研究 被引量:2

Research on UAV pursuit and evasion based on Apollonius circle
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摘要 介绍了一种基于阿波罗尼奥斯圆(Apollonius circle)理论的无人机追逃问题求解方法。首先介绍了阿波罗尼奥斯圆相关理论,然后构建了2个单无人机追逃问题和多无人机追逃问题的数学模型,并对2种模型下逃跑无人机的逃逸条件和追捕无人机的追捕条件进行了求解,最后通过仿真,设定实验场景,求出了逃跑无人机的绝对逃逸区域,验证了所构建模型的正确性和有效性。 A method is introduced to solve the problem of UAV pursuit and evasion based on the theory of Apollonius circle.First of all,the related theory of Apollonius circle is introduced,and two mathematical models are constructed:two single-UAV pursuit and evasion problems and multiple UAV pursuit and evasion problems.Then,the evasion conditions of the evasion UAV and the pursuit conditions of the pursuit UAV under the two models are solved.Finally,a certain experimental scene is set,and through simulation,the absolute evasion area of the evasion drone is obtained,which verifies the correctness and effectiveness of the constructed model.
作者 张澄安 邓文 王李瑞 龙淼 姚怡舟 Zhang Cheng'an;Deng Wen;Wang Lirui;Long Miao;Yao Yizhou(National Key Laboratory of CEMEE,School of Electronic Science,National University of Defense Technology,Changsha 410073,Hunan,China;Unit 75836 of PLA,Guangzhou 510036,Guangdong,China)
出处 《航天电子对抗》 2021年第5期40-43,48,共5页 Aerospace Electronic Warfare
关键词 无人机 追逃 阿波罗尼奥斯圆 约束条件 UAV pursuit and evasion Apollonius circle constraint condition
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  • 1周浦城,洪炳镕,王月海.动态环境下多机器人合作追捕研究[J].机器人,2005,27(4):289-295. 被引量:16
  • 2胡琪.无人机的未来发展之路[J].环球军事,2007(05X):38-39. 被引量:11
  • 3Isaacs R. Differential games: A mathematical theory with ap- plications to warfare and pursuit, control and optimization[M]. Hoboken, NJ, USA: John Wiley & Sons Inc., 1965: 1-102. 被引量:1
  • 4Vidal R, Shakernia O, Kim H J, et al. Probabilistic pursuit- evasion games: Theory, implementation, and experimental eval- uation[J]. IEEE Transactions on Robotics and Automation, 2002, 18(5): 662-669. 被引量:1
  • 5Lazhar K, Farid T, Kamel B, et al. Mobile robot navigation based on Q-learning technique[J]. International Journal of Ad- vanced Robotic Systems, 2011, 8(1): 45-51. 被引量:1
  • 6Zhou P C, Hong B R, Wang Y H, et al. Multi-agent cooper- ative pursuit based on extended contract net protocol[C]//In- ternational Conference on Machine Learning and Cybernetics. Piscataway, NJ, USA: IEEE, 2004: 169-173. 被引量:1
  • 7Cai Z S, Sun L N, Gao H B, et al. A novel hierarchical de- composition for multi-player pursuit evasion differential game with superior evaders[C]//World Summit on Genetic and Evolu- tionary Computation. New York, NY, USA: ASSOC Computing Machinery, 2009: 795-798. 被引量:1
  • 8Steven L, Robert W. Automatic methods for continuous state space abstraction[R]. Menlo Park, CA, USA: AAAI, 2010: 48- 53,. 被引量:1
  • 9Piater J, Jodogne S, Detry R, et al. Learning visual representa- tions for perception-action systems[J]. International Journal of Robotics Research, 2011, 30(3): 294-307. 被引量:1
  • 10Herrero-Perez D, Martinez-Barbera H, LeBlanc K. Fuzzy uncertainty modeling for grid based localization of mobile robots[J]. International Journal of Approximate Reasoning, 2010, 51(8): 912-932. 被引量:1

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