Multi-granularity and negotiation model updating method for satellite digital twin

The uncertainty of the model should be statistically assessed as the foundation for model selection, as there are errors between the digital twin model and the actual system that must be reduced. However, the satellite digital twin model exhibits multi-dynamic, multi-spatial scale, and multi-physical field coupling properties. Additionally, the numerical solution will reveal the stiffness problem of ordinary differential equations and the multi-scale problem of partial differential equations. If many telemetry parameters are updated at the system level, the results will not converge. A multi-granularity and negotiation model updating framework for satellite digital twin method was proposed. The parameters were grouped by correlation analysis and frequency domain analysis. Multi-granularity digital twin models were built based on the requirements, and various granularity models of satellite subsystems and components were produced. The coupling relationship between the satellite structure of different levels was studied, and a negotiation updating method was proposed. Real on-orbit telemetry data were used to verify the framework. According to the research findings, the proposed method updating approach outperforms the unused one by over 50% in terms of accuracy, and the updating results are more thorough and methodical.