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。
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.
[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.
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