The invention discloses a lunar navigation satellite constellation design and optimization method based on a genetic algorithm, which is suitable for the establishment and optimization of a lunar navigation satellite constellation and the navigational positioning of a lunar surface lunar rover. The method comprises the following steps of 1) determining MLO orbit parameters and lunar research areabasic information according to lunar physical characteristics; 2) determining the advantages and disadvantages of a designed orbit by utilizing the number of visible satellites and the GDOP value of the research area to the designed constellation; 3) optimizing HEO orbit parameters by using the improved genetic algorithm; and 4) verifying a result obtained by the genetic algorithm by utilizing traversal search with reduced precision to ensure the accuracy of the result. The method proves that the genetic algorithm has very high availability in constellation design, and the optimized constellation improves the navigation and positioning precision of the lunar rover near the lunar south pole.
一种基于遗传算法的月球导航卫星星座设计与优化方法,其适用于月球导航卫星星座的建立与优化、月面月球车的导航定位。其步骤为1)根据月球物理特性确定MLO轨道及月球研究区域基本信息。2)利用研究区域对设计星座的可见星数和GDOP值确定所设计轨道的优劣。3)利用改进的遗传算法对HEO轨道参数进行优化。4)利用降低精度的遍历搜索对遗传算法得到的结果进行验证,保证结果的准确性。这种方法证明了遗传算法在星座设计中具有很高的可用性,优化后的星座提高了月球车在月球南极附近的导航与定位精度。
Lunar navigation satellite constellation design and optimization method for navigational positioning of lunar rover
面向月球车导航定位的月球导航卫星星座设计与优化方法
2020-12-22
Patent
Elektronische Ressource
Chinesisch
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