微小卫星低可观测外形飞行姿态规划

doi:CNKI:11-1929/V.20101213.1706.000

电子与自动控制

本期目录 | 过刊浏览 | 高级检索

前一篇 | 后一篇

微小卫星低可观测外形飞行姿态规划

苏抗, 周建江

南京航空航天大学电子信息工程学院, 江苏南京 210016

收稿日期:2010-08-02 修回日期:2010-10-09 出版日期:2011-04-25 发布日期:2011-04-25
通讯作者: Tel.: 025-84892838 E-mail: zjjee@nuaa.edu.cn E-mail:zjjee@nuaa.edu.cn
作者简介:苏抗(1982- ) 男, 博士研究生。主要研究方向: 飞行器低可探测性设计、雷达目标特征提取与控制。 Tel: 025-84896490-12509 E-mail: sukang@nuaa.edu.cn周建江(1962- ) 男,博士,教授,博士生导师。主要研究方向:信息获取与处理、目标特征提取与控制等。 Tel: 025-84892838 E-mail: zjjee@nuaa.edu.cn
基金资助:
国家"863"计划

Flight Attitude Planning for Low Observable Micro-satellite Shields

SU Kang, ZHOU Jianjiang

College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Received:2010-08-02 Revised:2010-10-09 Online:2011-04-25 Published:2011-04-25

摘要/Abstract

摘要： 为提高在轨微小卫星的使用效能及生存能力,提出一种微小卫星低可观测外形飞行姿态规划算法。根据微小卫星雷达散射截面(RCS)、轨道及雷达威胁特性,建立了可进行长时间内最佳飞行姿态规划的数学模型,设计了低计算复杂度的链表式个体结构及进化规划策略,并实现了算法对高威胁区优化规划的能力。同时,算法低迭代步长下的快速收敛特性以及进化中规划精度及计算量可变的设计,也使其可灵活应用于不同的规划任务。仿真结果表明,算法可有效降低S波段及甚高频(VHF)波段雷达对微小卫星的威胁性,满足微小卫星低可观测外形飞行姿态规划的需求。

关键词: 姿态规划, 微小卫星, 低可观测性, 进化策略, 雷达散射截面, 探测概率

Abstract: A flight attitude planning algorithm is developed for low observable micro-satellite shields to enhance the on-orbit satellite’s survivability and operational effectiveness. According to the micro-satellite’s radar cross section (RCS), its orbit and radar threat characteristics, a planning mathematical model is established to find the optimal flight attitude in a long planning period of time. A novel linked-list individual structure and an evolutionary planning strategy are defined to reduce the planning computational complexity, and a special planning method is designed to enhance the planning performance when the micro-satellite travels through a high threat zone. At the same time, the algorithm converges quickly with limited iterative steps, and the planning precision and computational load can be adaptively controlled during the planning. These features make the planning algorithm available for different applications. In the simulation, the algorithm reduces the micro-satellite’s S-band and very high frequency (VHF)-band radar threat level obviously, and meets the needs of the low observable micro-satellite shield flight attitude planning.

Key words: attitude planning, micro-satellite, low observability, evolutionary strategy, radar cross section (RCS), detection probability

中图分类号:

V448.22⁺3

苏抗, 周建江. 微小卫星低可观测外形飞行姿态规划[J]. 航空学报, 2011, 32(4): 720-728.

SU Kang, ZHOU Jianjiang. Flight Attitude Planning for Low Observable Micro-satellite Shields[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2011, 32(4): 720-728.

参考文献

[1] Barker W C. Radar camouflage arrangement: US, 3233238. 1966-02-01.

[2] Lehman T H, Manning W P. Vehicle shield: US, 4947174. 1990-08-07.

[3] Eldridge M T, McKechnie K H, Hefley R M. Satellite signature suppression shield: US, 5345238. 1994-09-06.

[4] Barker W C, Slager D M. Crossed skirt antiradar screen structure for space vehicles: US, 6107952. 2000-08-22.

[5] Moore F W. Radar cross-section reduction via route planning and intelligent control[J]. IEEE Transactions on Control Systems Technology, 2002, 10(5): 696-700.

[6] Misovee K, Inanc T, Wohletz J, et al. Low-observable nonlinear trajectory generation for unmanned air vehicles//Proceedings of the IEEE Conference on Decision and Control. Hawaii: IEEE Press, 2003: 3103-3110.

[7] 史和生, 李丹, 赵宗贵, 等. 电子干扰对低可观测飞行器飞行路径规划的影响[J]. 南京航空航天大学学报, 2007, 39(2): 154-158. Shi Hesheng, Li Dan, Zhao Zonggui, et al. Electronic jamming exercises influence on flight path planning of low observation aircraft[J]. Journal of Nanjing University of Aeronautics & Astronautics, 2007, 39(2): 154-158. (in Chinese)

[8] 苏抗, 周建江. 有限姿控能力的低RCS微小卫星姿态实时规划[J]. 航空学报, 2010, 31(9): 1841-1848. Su Kang, Zhou Jianjiang. Real-time attitude planning for low RCS micro-satellite with limited attitude control ability[J]. Acta Aeronautica et Astronautica Sinica, 2010, 31(9): 1841-1848. (in Chinese)

[9] Su K, Zhou J J. Real-time satellite signature suppression shield attitude planning based on improved adaptive genetic algorithm//Proceedings of the International Conference on Advanced Computer Control. Shenyang: IEEE Press, 2010: 68-72.

[10] Szczerba R J, Galkowski P, Glickstein I S, et al. Robust algorithm for real-time route planning[J]. IEEE Transactions on Aerospace and Electronic Systems, 2000, 36(3): 869-878.

[11] Inanc T, Muezzinoglu M, Misovec K, et al. Framework for low-observable trajectory generation in presence of multiple radars[J]. Journal of Guidance, Control, and Dynamics, 2008, 31(6): 1740-1749.

[12] 刘振, 史建国, 高晓光. Voronoi图在航迹规划中的应用[J]. 航空学报, 2008, 29(增刊): 15-19. Liu Zhen, Shi Jianguo, Gao Xiaoguang. Application of Voronoi diagram in flight path planning[J]. Acta Aeronautica et Astronautica Sinica, 2008, 29(Sup.): 15-19. (in Chinese)

[13] Tulum K, Durak U, Yder S K. Situation aware UAV mission route planning//IEEE Aerospace Conference Proceedings. Bigsky: IEEE Computer Society Press, 2009.

[14] Harrington R F. Field computation by moment method[M]. Piscataway,NJ: Wiley-IEEE Press, 1993

[15] Zheng C, Li L, Xu F J, et al. Evolutionary route planner for unmanned air vehicles[J]. IEEE Transactions on Robotics, 2005, 21(4): 609-620.

[16] Yan P, Ding M Y, Zheng C W. Coordinated route planning via Nash equilibrium and evolutionary computation[J]. Chinese Journal of Aeronautics, 2006, 19(1): 18-23.

E-mail：hkxb@buaa.edu.cn

关于我们

期刊社服务

专业学科

封面文章

友情链接

主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

微小卫星低可观测外形飞行姿态规划

Flight Attitude Planning for Low Observable Micro-satellite Shields

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	王卓, 徐瑞, 李朝玉. 递进式路径转移姿态机动快速规划方法[J]. 航空学报, 2022, 43(5): 325308-325308.
[2]	柴源, 罗建军, 王明明. 脉冲推力下多星协同搬运的预测博弈控制[J]. 航空学报, 2022, 43(12): 326112-326112.
[3]	胡庆雷, 邵小东, 杨昊旸, 段超. 航天器多约束姿态规划与控制:进展与展望[J]. 航空学报, 2022, 43(10): 527351-527351.
[4]	余龙舟, 陈宪, 黄江涛, 钟世东, 阙肖峰. 腔体格栅的电磁屏蔽原理与方法[J]. 航空学报, 2022, 43(1): 324803-324803.
[5]	郭霄, 杨青真, 文振华, 李树豪, 方鹏亚. 吸波材料脱落对球面收敛喷管电磁散射特性的影响[J]. 航空学报, 2021, 42(6): 224466-224466.
[6]	韩楠, 罗建军, 马卫华. 失效卫星姿态接管的并行学习合作博弈控制[J]. 航空学报, 2021, 42(3): 324307-324307.
[7]	张哲, 吴剑, 代冀阳, 应进, 何诚. 基于改进A-Star算法的隐身无人机快速突防航路规划[J]. 航空学报, 2020, 41(7): 323692-323692.
[8]	杨波, 赵培林, 蔡三军, 周生林, 陈川. 新一代战斗机座舱盖关键技术与设计方案[J]. 航空学报, 2020, 41(6): 523465-523465.
[9]	周琳, 黄江涛, 高正红. 基于离散伴随方程的三维雷达散射截面几何敏感度计算[J]. 航空学报, 2020, 41(5): 623361-623361.
[10]	张哲璇, 龙腾, 徐广通, 王仰杰. 重访机制驱动的多无人机协同动目标搜索方法[J]. 航空学报, 2020, 41(5): 323314-323314.
[11]	郭杰, 殷红成, 叶尚军, 满良, 贾崎. 直升机旋翼电磁特性模拟新技术[J]. 航空学报, 2019, 40(7): 322732-322732.
[12]	唐清君, 陈厚磊, 梁惊涛, 蔡京辉. 空间微小脉冲管制冷机研制[J]. 航空学报, 2018, 39(S1): 722321-722321.
[13]	陈俊霖, 徐浩军, 魏小龙, 陈增辉, 吕晗阳. 感性耦合夹层等离子体隐身天线罩电磁散射分析[J]. 航空学报, 2018, 39(3): 321472-321472.
[14]	郭霄, 杨青真, 施永强, 杨惠成, 白进. 介质涂覆位置对球面收敛喷管电磁散射特性影响[J]. 航空学报, 2017, 38(4): 320430-320430.
[15]	高超, 巢增明, 袁晓峰, 白杨. 飞行器RCS近场测试技术研究进展与工程应用[J]. 航空学报, 2016, 37(3): 749-760.