Selection of the best initial orbital elements of satellite based on fuzzy integration evaluation method

The fuzzy integration evaluation method （FIEM） is studied in order to select the best orbital elements from the multi-group initial orbits determined by a satellite TT＆C （Tracking, Telemetry and Control） center with all kinds of data sources. By employing FIEM together with the experience of TT＆C experts, the index system to evaluate the selection of the best initial orbits is established after the data sources and orbit determination theories are studied. Besides, the concrete steps in employing the method are presented. Moreover, by taking the objects to be evaluated as evaluation experts, the problem of how to generate evaluation matrices is solved. Through practical application, the method to select the best initial orbital elements has been proved to be flexible and effective The originality of the method is to find a new evaluation criterion （comparing the actually tracked orbits） replacing the traditional one （comparing the nominal orbits） for selecting the best orbital elements.

模糊综合评价法在卫星初始轨道选优中的应用

针对卫星入轨段，如何从多组初始轨道中选择一组最优轨道问题进行理论分析，提出一种基于模糊综合评价法的卫星初始轨道选优算法。首先对确定卫星初始轨道的数据源及定轨原理进行了分析；其次针对初始轨道的特点，应用模糊综合评价法建立了初始轨道选优的评价指标体系，成功利用被评对象作为评价专家，解决了评估矩阵的生成问题；最后以一颗典型的太阳同步轨道卫星为例，验证了其数学模型和选优算法的合理性和正确性。