2.765

2022影响因子

(CJCR)

  • 中文核心
  • EI
  • 中国科技核心
  • Scopus
  • CSCD
  • 英国科学文摘

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于ACP方法的载人登月中止规划的计算实验研究

黄文德 王威 徐昕 郗晓宁

黄文德, 王威, 徐昕, 郗晓宁. 基于ACP方法的载人登月中止规划的计算实验研究. 自动化学报, 2012, 38(11): 1794-1803. doi: 10.3724/SP.J.1004.2012.01794
引用本文: 黄文德, 王威, 徐昕, 郗晓宁. 基于ACP方法的载人登月中止规划的计算实验研究. 自动化学报, 2012, 38(11): 1794-1803. doi: 10.3724/SP.J.1004.2012.01794
HUANG Wen-De, WANG Wei, XU Xin, XI Xiao-Ning. Computational Experiments for Abort Planning of Manned Lunar Landing Mission Based on ACP Approach. ACTA AUTOMATICA SINICA, 2012, 38(11): 1794-1803. doi: 10.3724/SP.J.1004.2012.01794
Citation: HUANG Wen-De, WANG Wei, XU Xin, XI Xiao-Ning. Computational Experiments for Abort Planning of Manned Lunar Landing Mission Based on ACP Approach. ACTA AUTOMATICA SINICA, 2012, 38(11): 1794-1803. doi: 10.3724/SP.J.1004.2012.01794

基于ACP方法的载人登月中止规划的计算实验研究

doi: 10.3724/SP.J.1004.2012.01794
详细信息
    通讯作者:

    黄文德

Computational Experiments for Abort Planning of Manned Lunar Landing Mission Based on ACP Approach

  • 摘要: 针对载人登月中止规划存在的不确定性因素, 提出了基于ACP (Artificial systems, computational experiments, parallel execution)方法的载人登月中止规划框架, 论述了该框架下人工系统和平行执行的初步设计, 主要讨论了计算实验设计、分析和验证过程. 针对中止规划时中止点状态误差的不确定性, 提出利用短时间的累积观测值确定中止点状态误差的计算实验方法, 并应用模拟退火单纯形混合算法求解从载人登月轨道上任一点返回地球的中止机动方案. 最后给出基于正交实验设计的计算实验示例性算例, 验证本文提出方法的有效性.
  • [1] Hyle C T, Poggatt C E, Weber B D, Gerbracht R J, Diamant L S. Abort planning for Apollo missions. In: Proceedings of the 8th Aerospace Sciences Meeting. New York, USA: AIAA, 1970. AIAA Paper NO.70-94: 1-13[2] Babb G R Jr. Translunar Abort Techniques for Nonfree-return Missions, Technical Report NASA-TM-X-1806, NASA, USA, 1969[3] Hoekstra T B. The Abort Capabilities of the Apollo Spacecraft on the Translunar Trajectory, Technical Report NASA-CR-96030, NASA, USA, 1968[4] Merrick R B. On-board Calculations of a Two-impulse Abort to a Preselected Landing Site, Technical Report NASA-TN-D-4599, NASA, USA, 1968[5] Beksinski E D Jr. Abort Trajectories for Manned Lunar Missions [Master dissertation], University of Maryland, Maryland, USA, 2007[6] Ocampo C, Saudemont R R. Initial trajectory model for a multi-maneuver moon-to-earth abort sequence. Journal of Guidance, Control, and Dynamics, 2010, 33(4): 1184-1194[7] Huang W D, Xi X N, Wang W. Characteristic analysis and design of near moon abort trajectory for manned lunar landing mission. Science China Technological Sciences, 2010, 53(11): 3129-3137[8] Huang Wen-De, Xi Xiao-Ning, Wang Wei. Characteristic analysis of abort trajectory for manned lunar landing mission based on double two-body model. Journal of Astronautics, 2010, 31(9): 2067-2074(黄文德, 郗晓宁, 王威. 基于双二体假设的载人登月中止轨道特性分析. 宇航学报, 2010, 31(9): 2067-2074)[9] Huang W D, Xi X N, Wang W. Research on midcourse correction after abort for manned lunar landing mission. In: Proceedings of the 2010 Global Lunar Conference. Beijing, China: IAF, 2010. GLUC-2010.2.5.B.12: 1-9[10] Godwin R. Apollo 13: the NASA Mission Reports. Ontario: Apogee Books, 2000[11] Office of Public Affaires. Apollo 13--"Houston, we've got a problem", Technical Report NASA-EP-76, NASA, USA, 1970[12] Greensite A L. Analysis and Design of Space Vehicle Flight Control Systems Volume XVI-abort, Technical Report NASA-CR-835, NASA, USA, 1968[13] Orloff R W. Apollo by the Numbers: a Statistical Reference, Technical Report NASA-SP-2000-4029, NASA, USA, 2000[14] Wang Fei-Yue. Parallel system methods for management and control of complex systems. Control and Decision, 2004, 19(5): 485-489, 514(王飞跃. 平行系统方法与复杂系统的管理和控制. 控制与决策, 2004, 19(5): 485-489, 514)[15] Wang Fei-Yue. Computational theory and method on complex system. China Basic Science, 2004, 6(5): 3-10(王飞跃. 关于复杂系统研究的计算理论与方法. 中国基础科学, 2004, 6(5): 3-10)[16] Wang Fei-Yue. Computational experiments for behavior analysis and decision evaluation of complex systems. Journal of System Simulation, 2004, 16(5): 893-897(王飞跃. 计算实验方法与复杂系统行为分析和决策评估. 系统仿真学报, 2004, 16(5): 893-897)[17] Wang F Y. Parallel control and management for intelligent transportation systems: concepts, architectures, and applications. IEEE Transactions on Intelligent Transportation Systems, 2010, 11(3): 630-638[18] Xiong Gang, Cheng Chang-Jian, Wang Fei-Yue, Zou Yu-Min, Zhong Wei-Na, Li Le-Fei, Xiong Yi, Liao Chang-Yong, He Li-Jian. Parallel training method for ethylene production employee. In: Proceedings of the 1st Chinese Conference on Parallel Management. Beijing, China, 2009. 1-8(熊刚, 程长建, 王飞跃, 邹余敏, 钟玮娜, 李乐飞, 熊毅, 廖昌勇, 何力健. 乙烯生产人员的平行学习与培训方法研究. 首届全国平行管理会议. 北京, 中国, 2009. 1-8)[19] Ning B, Tang T, Dong H R, Wen D, Liu D R, Gao S G, Wang J. An introduction to parallel control and management for high-speed railway systems. IEEE Transactions on Intelligent Transportation Systems, 2011, 12(4): 1473-1483[20] Ning B, Dong H R, Wen D, Li L F, Cheng C J. ACP-based control and management of urban rail transportation systems. IEEE Intelligent Systems, 2011, 26(2): 84-88[21] Xi X N, Huang W D, Wang W. Review on abort trajectory for manned lunar landing mission. Science China Technological Sciences, 2010, 53(10): 2691-2698[22] Huang Wen-De, Xi Xiao-Ning, Wang Wei. Methods of mission analysis, design and validation for lunar exploration based on STK. Chinese Space Science and Technology, 2010, 30(6): 72-80(黄文德, 郗晓宁, 王威. 基于STK的月球探测任务分析、设计与验证方法. 中国空间科学技术, 2010, 30(6): 72-80)[23] Wang Ling. Intelligent Optimization Algorithm with Application. Beijing: Tsinghua University Press, 2001(王凌. 智能优化算法及其应用. 北京: 清华大学出版社, 2001)[24] Huang Wen-De, Xi Xiao-Ning, Wang Wei, Li Jing. Characteristic analysis and design of free return orbit for lunar manned landing based on the double two-body model. Journal of Astronautics, 2010, 31(5): 1297-1303(黄文德, 郗晓宁, 王威, 李静. 基于双二体假设的载人登月自由返回轨道特性分析及设计. 宇航学报, 2010, 31(5): 1297-1303)[25] Xi Xiao-Ning, Zeng Guo-Qiang, Ren Xuan, Zhao Han-Yuan. Orbit Design of Lunar Probe. Beijing: National Defense Industry Press, 2001(郗晓宁, 曾国强, 任萱, 赵汉元. 月球探测器轨道设计. 北京: 国防工业出版社, 2001)[26] Berry R L. Launch window and translunar, lunar orbit, and transearth trajectory planning and control for the Apollo 11 lunar landing mission. In: Proceedings of the 8th Aerospace Sciences Meeting. New York, USA: AIAA, 1970. AIAA Paper NO.70-24: 1-17[27] Wang F Y, Jin N, Liu D R, Wei Q L. Adaptive dynamic programming for finite-horizon optimal control of discrete-time nonlinear systems with ε-error bound. IEEE Transactions on Neural Networks, 2011, 22(1): 24-36[28] Wang F Y, Zhang H G, Liu D R. Adaptive dynamic programming: an introduction. IEEE Computational Intelligence Magazine, 2009, 4(2): 39-47[29] Xu X, Hu D W, Lu X C. Kernel-based least squares policy iteration for reinforcement learning. IEEE Transactions on Neural Networks, 2007, 18(4): 973-992
  • 加载中
计量
  • 文章访问数:  2153
  • HTML全文浏览量:  53
  • PDF下载量:  661
  • 被引次数: 0
出版历程
  • 收稿日期:  2011-06-20
  • 修回日期:  2012-07-15
  • 刊出日期:  2012-11-20

目录

    /

    返回文章
    返回