摘要
研究对地观测小卫星轨道设计问题,是以区域覆盖性能为优化目标,对小卫星进行轨道设计。传统轨道设计方法要建立复杂的轨道动力学模型,优化过程计算量大、效率低,优化结果对不确定因素考虑不足。针对以上问题,结合遗传算法(GA)与灵敏度分析对面向区域观测任务的小卫星轨道进行优化设计。通过连接STK与VC实现覆盖性能计算,利用遗传算法实现小卫星轨道优化,采用灵敏度分析方法研究优化后的轨道参数变化对覆盖性能的影响程度。仿真结果表明优化后的小卫星轨道满足设计要求,能够达到覆盖性能最优。仿真结论,改进方法简单有效,优化效率高,可为实际工程中的小卫星轨道设计提供借鉴。
The earth observation minisat orbit is designed in order to optimize the regional coverage performance. Minisat orbit design is an important factor affecting the coverage performance. The traditional design method needs to build complex orbital dynamics model, which has a large calculating quantity and low efficiency, and the optimized results consider uncertainties inadequately. To solve these problems, this paper combines genetic algorithm （ GA ） with sensitivity analysis to design the minisat orbit. The coverage performance computing is achieved by connecting STK with VC, an optimizing minisat orbit is designed based on genetic algorithm, and orbital parameters are obtained by using sensitivity analysis methods to optimize the degree of influence on the coverage performance. Simulation re- suits show that the designed minisat orbit meets the design requirements, achieves the optimal coverage performance. The simulation result concludes that the method is simple and effective, which has high optimized efficiency.
出处
《计算机仿真》
CSCD
北大核心
2015年第2期43-47,共5页
Computer Simulation
