机理与数据融合的航天器控制系统数字孪生建模方法  

A Digital Twin Modeling Approach for Aerospace Control Systems with Mechanism and Data Fusion

作　　者：宁之成 刘潇翔[1] 王淑一[1] NING Zhicheng;LIU Xiaoxiang;WANG Shuyi(Beijing Institute of Control Engineering,Beijing 100094,China)

机构地区：[1]北京控制工程研究所,北京100094

出　　处：《空间控制技术与应用》2022年第2期1-7,共7页Aerospace Control and Application

基　　金：国家自然科学基金资助项目(62022013)。

摘　　要：针对航天器空间运行环境复杂、地面建模存在未知误差的工程实际问题,依据数字孪生思想,提出一种将机理与数据融合进行航天器控制系统建模的方法.基于详细机理模型,通过LSTM网络挖掘地面测试数据、在轨遥测数据中的信息,对机理模型与物理实体的偏差进行数据驱动建模,综合获得高精度的系统级及部件级模型.对航天器控制系统典型部件的仿真结果表明,该建模方法构建的模型能够对多维度特性进行更精准地刻画,有效提升控制系统建模精度,为航天器控制系统在轨精准性能评估和智能健康管理奠定重要基础.Aiming at the practical engineering problems of complex spacecraft operation environment and unknown errors in ground modeling,a method of modeling spacecraft control system by fusing mechanism and data is proposed based on the idea of digital twin.The deviation between mechanistic models and physical entities is modeled by mining information from ground test data and in-orbit telemetry data through LSTM networks.Then the mechanistic models and data-driven models are combined to obtain highly accurate system-level and component–level models.Simulation results of typical components of spacecraft control systems show that the model constructed by this modeling method can provide more accurate portrayal of multi-dimensional characteristics,effectively improve the accuracy of control system modeling,which lays an important foundation for accurate performance evaluation and intelligent health management of spacecraft control systems in orbit.

关 键 词：航天器控制系统 数字孪生 机理模型 数据驱动 LSTM网络 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]