期刊文献+

基于动态人工势场法的多机改航路径规划研究 被引量:6

Research of Multi-aircraft Rerouting Path Planning Based on Dynamic Artificial Potential Field Algorithm
在线阅读 下载PDF
导出
摘要 在危险天气条件下,需要研究航班改航路径规划的问题。对传统人工势场法中的斥力势函数进行修正,将目标点与障碍物的距离以及航空器与受限区的运动速度考虑在内,建立了动态人工势场法的多机改航路径规划模型。模型解决了障碍物附近目标不可达问题,并且适应动态运行环境。算例验证了模型的有效性和可行性。 In dangerous weather conditions,it is necessary to research the problem of rerouting path planning. This paper improves the repulsion potential function of the traditional artificial potential field algorithm by taking distance of the target and obstacles and restricted areas moving speed into consideration,and establishes dynamic artificial potential field method for multi- aircraft rerouting. The model can solve the problem that aircrafts can't reach the target locations when the obstacles near the targets,and it also adapts to the dynamic operating environment. Numerical example proves the validity and feasibility of the model.
出处 《航空计算技术》 2015年第1期1-4,9,共5页 Aeronautical Computing Technique
基金 国家自然科学基金项目资助(71171190) 国家空管委基金项目资助(GKG201410001) 中央高校基本科研业务费项目资助(3122014D041)
关键词 危险天气 动态人工势场法 多机改航 路径规划 dangerous weather dynamic artificial potential field method multi-aircraft rerouting path planning
  • 相关文献

参考文献12

  • 1Krozel J, Steve P, Joseph P, et al. Comparison of Algorithm s for Synthesizing Weather Avoidance Routes in Transition Air- space [ C ]//Proceedings of the AIAA Guidance, Navigation and Control Conference, Providence, RI,2004 : 1 - 16.
  • 2Pannequin J J, Bayen A M, Mitchell I M, et al. Multiple Air- craft Deconfiicted Path Pranning with Weather Avoidance Constraints [ C ]//AIAA Guidance, Navigation, and Control Conference, 2007.
  • 3Dai F, Xu S. Methodology for Estimating and Enhancing Ter- minal Capacity[ C ]//Proceedings of First International Con-ference on Modelling and Simulation,August. 2008:5 -7.
  • 4Wang L, Yang H. Rerouting Strategy Research Based on Im- proved ant Colony Algorithm [ C ]//Industrial Electronics and Applications (ICIEA) ,2013 8th IEEE Conference on IEEE, 2013:766 - 770.
  • 5匡军,戴福青.航路中避让恶劣天气的路径规划研究[C]//2008(沈阳)国际安全科学与技术学术研讨会论文集,2008.
  • 6叶志坚,戴福青,杨新湦.避免雷雨天气的航路选择方法[C].天津:第七届全国交通运输领域青年学术会议,2007:1126-1134.
  • 7王兴隆,徐肖豪,冯江然.基于改进人工势场法的多机改航路径规划[J].飞行力学,2013,31(4):381-384. 被引量:11
  • 8高政,胡明华.动态空域下的实时改航策略[C].青岛:第四届中国智能交通年会,2008:412-417.
  • 9孟令航,徐肖豪,李善梅,耿增显.不确定强对流天气下动态改航路径规划[J].西南交通大学学报,2012,47(4):686-691. 被引量:36
  • 10张晨靓,田勇.恶劣天气影响下动态改航策略研究[J].哈尔滨商业大学学报(自然科学版),2013,29(6):764-768. 被引量:6

二级参考文献37

  • 1况菲,王耀南,张辉.动态环境下基于改进人工势场的机器人实时路径规划仿真研究[J].计算机应用,2005,25(10):2415-2417. 被引量:14
  • 2李雄,徐肖豪,王超,等.基于凸多边形的飞行改航区划设及路径规划研究[C]//中国控制与决策会议.2008:3083-3088.
  • 3叶志坚,戴福青,杨新湦.避免雷雨天气的航路选择方法[C].天津:第七届全国交通运输领域青年学术会议,2007:1126-1134.
  • 4BARRAQUAND J, LANGLOIS B, Latom be J-C. Numerical Potential Field Techniques for Robot Path Planning[ J]. IEEE Transactions on Systems, Manand Cybernetics, 1992,22(2):224-241.
  • 5TARASSENKO L, BLAKE A. Analogue compution of collision-free paths[ A]. Proceedings of the 1991 IEEEInternational Conference on Robotics and Automation[ C]. 540 - 544.
  • 6SUH S-H, SHIN KG. A Variational Dynamic Programming Approach to Robot-path Planning with a Distance-safety Criterion[J]. IEEE Journal of Robotics and Automation, 1998, 4(3):334- 349.
  • 7PARK MG, LEE MC. Artificial Potential Field Based Path Planning for Mobile Robots Using a Virtual Obstacle Concept[ J]. IEEE/ASME International conference on Advanced Intelligent Mechatronics(AIM), 2003:735 -740.
  • 8VADAKKEPAT P, TAN KC, WANG M-L. Evolutionary Artificial Potential Fields and Their Application in Real Time Robot Path[ A].Evolutionary Computation, 2000. Proceedings of the 2000 Congress on[C], 2000.256 - 263.
  • 9GE SS, CUI YJ. New Potential Functions for Mobile Robot Path Planning[ J]. IEEE Transactions on robotics and automation, 2000,16(5): 615 -620.
  • 10Werner Dirk Jan Dierssen,Motion Planning in a Robot Soccer System,A Master's Thesis,Language,Knowledge and Interaction Group Department of Computer Science University of Twente The Netherlands,2003.

共引文献63

同被引文献53

引证文献6

二级引证文献35

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部