期刊文献+

基于SD*lite的月球车任务规划算法 被引量:2

A Mission Planning Algorithm of the Lunar Rover Based on SD*Lite
下载PDF
导出
摘要 月球车任务规划是在给定初始位置和目标位置,满足月面地形约束、工作模式约束以及能量约束的前提下,规划出月球车最优的路径。设计了一种月球车任务规划的模型,提出了一种基于SD*lite算法的规划器,在原有SD*lite算法的基础上进一步考虑了对可用资源的限制;它可以协助月球车在考虑太阳能帆板的能量约束的条件下,合理避障最终达到目标点,使规划的轨迹更符合实际。 Lunar rover mission planning is a method to plan a lunar rover optimal path considering lhe initial position and target position and also the constraints of surface topography, mobility constraints, communication constraints, work mode constraints and energy con- straints. This paper designs a lunar rover mission planning model and proposes an algorithm planner based on SD ~ lite, which includes the effect nf the limited available resources. It can help the lunar rover get the goal following a reasonable path under the constraint of solar pan els energy.
出处 《计算机测量与控制》 CSCD 北大核心 2012年第9期2532-2535,共4页 Computer Measurement &Control
基金 国家863高科技资助项目(2008AA0085) 国家自然科学基金资助项目(60975065)
关键词 月球车 任务规划 能量约束 lunar rover mission planning energy constraint
  • 相关文献

参考文献11

  • 1Ai-Chang M, Bresina J, Charest L, etc. MAPGEN.. Mixed-Ini- tiative Planning and Scheduling for the Mars Exploration Rover Mis sion [J] Intelligent Systems, 2004, 19 (1): 8-12.
  • 2John L. Bresina and Paul H. Morris. Mission Operations Planning: Beyond MAPGEN [ A]. Second IEEE International Conference [C]. Page (s):477- 484.
  • 3P E Hart, N J Nilsson, B Raphael. A formal basis for the heuristic determination of minimum cost paths in graphs [J].IEEE Trans. Syst. Sci. and Cybernetics, SSC-4 (2) : 100 - 107, 1968.
  • 4Anthony Stentz. The Focussed D * Algorithm for Real-Time Re- planning [A]. In Proceedings of the International Joint Conference on Articial Intelligence (IJCAI) [C]. 1995.
  • 5Sven Koenig, Maxim Likhachev and David Furey. Lifelong Planning A*[J]. Artificial Intelligence, 2004, 155: 93- 146.
  • 6Anthony Stentz. Optimal and EfIcient Path Planning for Partially- Known Environments [D]. 1994.
  • 7Estlin T, Gaines D, Chouinard C, etc, Increased Mars Rover Au- tonomy using AI Planning [A]. Scheduling and Execution Robotics and Automation, 2007. IEEE International Conference [C]. on 10 -14 April 2007 Page (s), 4911 -4918.
  • 8Popov A. Mission planning and data integration on the International Space Station Program [A]. Aerospace Conference, 2004. Pro ceedings. 2004 IEEE Volume 6 [C]. 6-13 March 2004 Page (s): 3856- 3865 Vol. 6.
  • 9Kwak S H, Ong S M. McGhee R B. A mission planning expert sys- tem for an autonomous underwater vehicle [A]. Autonomous Un- derwater Vehicle Technology, 1990. AUV'90, Proceedings of the (1990) Symposium on [C]. 5 - 6 June 1990 Page (s) : 123 - 128.
  • 10Li Peng, Huang Xinhang, Wang Min. A Hybrid Method for Dy- namic Local Path Planning [A]. Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC'09. In ternational Conference on Volume 1 [C]. 25 - 26 April 2009 Page (s): 317-320.

二级参考文献8

共引文献2

同被引文献12

引证文献2

二级引证文献8

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