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

机译:基于模糊综合评价法的卫星最佳初始轨道要素选择

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摘要

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.
机译:为了从具有各种数据源的卫星TT&C(跟踪,遥测和控制)中心确定的多组初始轨道中选择最佳轨道元素,研究了模糊积分评估方法(FIEM)。通过研究FIEM和TT&C专家的经验,在研究了数据来源和轨道确定理论之后,建立了评估最佳初始轨道选择的指标体系。此外,提出了采用该方法的具体步骤。此外,通过将要评估的对象作为评估专家,解决了如何生成评估矩阵的问题。通过实际应用,已经证明选择最佳初始轨道元素的方法是灵活有效的。该方法的独创性是找到一种新的评估标准(比较实际跟踪的轨道)来代替传统的评估标准(选择名义轨道)以选择最佳轨道元素。

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