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<p>In traditional satellite system engineering, when the system designer decomposes indicators, it is difficult to quantify the impact of indicator parameters between systems and components, and thus it is impossible to effectively optimize and evaluate the parameters of the entire system. Based on the Model-Based Systems Engineering (MBSE) concept, this paper takes remote sensing satellites as the research object, conducts top-down forward design, establishes a parametric model of system-subsystem-component, and embeds the mechanism relationship between parameters. By analyzing the System Modeling Language (SysML) parameter model, a parameter association tree is generated. The parameter association tree is further combined with the PageRank method to locate key parameters. Through the above methods, the association relationship between complex parameters of remote sensing satellites is constructed, and the parameter impact between indicators can be quantitatively analyzed, which provides an effective tool for satellite design. Case analysis shows that this method can effectively analyze important parameters in the satellite design process, which will aid in the evaluation and optimization of satellite parameters.</p>

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Model-based remote sensing satellite parameter design and importance analysis

  • 期刊论文

  • 发表日期：

    2025年5月16日

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  • Renfei Li,
  • Tao Meng,
  • Zhaohui Wang,
  • Zhihong Zhao

摘要

In traditional satellite system engineering, when the system designer decomposes indicators, it is difficult to quantify the impact of indicator parameters between systems and components, and thus it is impossible to effectively optimize and evaluate the parameters of the entire system. Based on the Model-Based Systems Engineering (MBSE) concept, this paper takes remote sensing satellites as the research object, conducts top-down forward design, establishes a parametric model of system-subsystem-component, and embeds the mechanism relationship between parameters. By analyzing the System Modeling Language (SysML) parameter model, a parameter association tree is generated. The parameter association tree is further combined with the PageRank method to locate key parameters. Through the above methods, the association relationship between complex parameters of remote sensing satellites is constructed, and the parameter impact between indicators can be quantitatively analyzed, which provides an effective tool for satellite design. Case analysis shows that this method can effectively analyze important parameters in the satellite design process, which will aid in the evaluation and optimization of satellite parameters.