Research on the Planning Method for Astronomy Observation Mission
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摘要: 面向天文观测的空间科学卫星任务规划是一个复杂的多目标优化问题.通过对天文观测类卫星的任务规划要素及约束条件进行抽象,建立了面向天文观测的多目标任务规划问题模型,在此基础上设计了基于NSGA-II的多目标观测任务规划算法,并通过实例进行了实验及结果分析.研究表明,该方法能够有效解决天文观测类卫星不同规模的任务规划问题.Abstract: Space science satellite's astronomy observation mission planning is a complex multi-objective optimization problem. A multi-objective model is proposed based on abstraction of the mission planning elements and the constraints. Three scheduling criteria are considered, including minimizing important tasks unscheduled time, resource cost and scan tasks unscheduled time. Furthermore, Multi-objective Observation Mission Planning Algorithm (MOMPA) is put forward using the proposed model. The MOMPA solves conventional observation mission planning problem using the iteration constrained adjustment in population evolutionary methods. In order to validate MOMPA's performance, the mission planning test cases are designed. The short-term test case has 12 tasks with one week's observation period and the long-term test case has 36 tasks with three months' observation period. These experiments are conducted and analyzed, and results showed that MOMPA is applicable to astronomy observation planning in various scales.
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[1] Wang Jun, Li Jun, Chen Jian, et al. An approach for multi-objective uniting imaging scheduling of Earth observing satellites[J]. J. Astron., 2007, 28(2):354-359. In Chinese (王钧, 李军, 陈健, 等. 多目标EOSs联合成像调度方法[J]. 宇航学报, 2007, 28(2):354-359) [2] Huang Xiaojun, Ma Manhao, Qiu Dishan, et al. Solving the cooperative reconnaissance of electronic reconnaissance satellite with a hybrid scheduling algorithm[J]. J. Natl. Univ. Defense Tech., 2011, 33(1):132-137. In Chinese (黄小军, 马满好, 邱涤珊, 等. 电子侦察卫星联合侦察的混合调度算法[J]. 国防科技大学 学报, 2011, 33(1):132-137) [3] Liu Wei, Lin Baojun. An intelligentized controlling method for scanning the celestial sphere[J]. J. Astron., 2006, 27(6):1365-1368. In Chinese (刘薇, 林宝军. 卫星巡天扫描运控 模式方法的研究[J]. 宇航学报. 2006, 27(6):1365-1368) [4] Johnston M D, Giuliano M E. Multi-objective scheduling for space science missions[J].J. Adv. Comp. Intell. Inf., 2011, 15(8):1140-1148 [5] Giuliano M E, Hawkins R, Rager R. A status report on development of the JWST long range planning system[C]//Proceedings of the 21st International Conference on Automated Planning and Scheduling. Freiburg: ICAPS, 2011 [6] Calvani H M, Berman A F, Blair W P, et al. The evolution of the FUSE spike long range planning system[C]//Proceedings of Fourth International Workshop for Planning and Scheduling for Space. Darmstadt: NASA, 2004 [7] Chen Hao. Planning and Scheduling Method for the Earth's Surface Electromagnetic Environment Detection Satellite Resources[D]. Changsha: National University of Defense Technology, 2009. In Chinese (陈浩. 地表电磁环境探测卫星的资源规 划调度方法[D]. 长沙: 国防科学技术大学, 2009) [8] Deb K, Pratap A, Agarwal S, et al. A fast and elitist multi-objective genetic algorithm: NSGA-II[J]. IEEE Trans. Evol. Comp., 2002, 6(2):182-197 -
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