首页|利用遗传算法实现低倾角卫星星座优化设计

利用遗传算法实现低倾角卫星星座优化设计

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针对热点区域的多重覆盖问题,采用回归圆轨道的共星下点轨迹星座方案,提出基于遗传算法求解单颗卫星轨道参数、利用简单解析公式求解星座轨道参数的方法.首先,建立了回归轨道热点区域多重覆盖模型;其次,以卫星一个回归周期内覆盖时间最长为性能指标,首颗卫星轨道根数利用遗传算法可优化求取;最后,根据星下点轨迹重合这一约束条件设计星座构型,并利用各卫星间几何关系求解各卫星的轨道根数.理论分析和仿真结果表明,该方法简单且易于实现,设计结果正确,可实现回归周期内同一卫星星下点轨迹多次覆盖目标,星座使用卫星少、覆盖频率高,具有较好的工程应用价值.
Realization of Low Inclination Satellites Constellation Optimization Based on GA
Aiming at the problem of multi-coverage of hot regions,a design scheme of common ground track constellation with regression orbit attribute is applied,and a design method based on genetic algo-rithm(GA)for optimization of the orbital parameters of a single satellite and analytic method for solving the orbital parameters of a constellation is proposed in this paper.Firstly,a regression orbit model for muti-coverage of hot region is established.Secondly,by taking the optimal coverage effect of a hot re-gion as the performance index,genetic algorithm(GA)is used to optimize and solve the orbit parameters of a single satellite.Finally,the orbit parameters of the constellation are solved by analytical method.The results of theoretical analysis and simulation totally show that the design method can achieve peri-odic multi-coverage of hot regions and higher time resolution ratio,which present fairly good engineer-ing application value.

Hot regionLow-earth orbit(LEO)Multi-coverageGenetic algorithm(GA)ConstellationGround track

赵文策、舒传华、王盛玺

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太原卫星发射中心技术部,太原 030027

热点区域 近地轨道 多重覆盖 遗传算法 星座 星下点轨迹

2024

航天控制
北京航天自动控制研究所

航天控制

CSTPCD
影响因子:0.29
ISSN:1006-3242
年,卷(期):2024.42(5)