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Research on Orbiting Information Procession of Satellites Based on Parallel Management

机译:基于并行管理的卫星轨道信息处理研究

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The orbit attribution is the most important information on space object. Therefore, parallel management is channeled when complicated and systematic projects are decided and evaluated. Its method and process are applied to the study of system simulation. Traditionally, large-scale simulation and control of the system depended on single model simulation and traditional control approaches for making the target system under control at the only past time. However, the parallel management methods' application will get the system under control and be accurate for a long time in the future. The paper briefly reviews ACP theory and data-based iterative learning control, then points out the necessity and feasibility of the combination of parallel control and iterative control by putting out the structure of NN iterative learning controller. The space objects prove the methods by calculating the orbit attribute at the end of the paper. This paper focuses on parallel management principles and makes further studies of its implementation methods for trying to offer some theory achievements and practical experiences for future researches.
机译:轨道归因是空间对象中最重要的信息。因此,当决定和评估复杂和系统的项目时,会引导并行管理。其方法和过程适用于系统仿真研究。传统上,对系统的大规模仿真和控制取决于单一模型仿真和传统的控制方法,以便在唯一过去的时间下控制目标系统。但是,并行管理方法的应用程序将使系统下控制并在将来长时间准确。本文简要介绍了ACP理论和基于数据的迭代学习控制,然后通过放出NN迭代学习控制器的结构来指出并行控制和迭代控制的结合的必要性和可行性。空间对象通过计算纸张末尾的轨道属性来证明方法。本文侧重于平行管理原则,并进一步研究其实施方法,以便为未来的研究提供一些理论成果和实践经验。

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