Rapid Modeling and Model Order Reduction of Launch Vehicle Based on Digital Twin

In this paper, a dynamic analysis technique for complex launch vehicle models using digital twin technology is introduced. A parameterized model of the launch vehicle is established and simulations are conducted on a multi-physics simulation platform. The resulting analysis file is then integrated into a system-level multi-physical domain digital twin platform. To simplify the model, singular value decomposition (SVD) method is employed to reduce its complexity. Numerical comparison and error analysis are performed between the reduced model and the original model. By comparing and analyzing the reduced order models with different levels of error, the effectiveness of the digital twin approach is demonstrated. Furthermore, the reduced order model within the digital twin framework is encapsulated. This encapsulation enables the realization of comprehensive life cycle configuration management for the launch vehicle equipment. Overall, this technique offers a promising approach for analyzing and managing complex models of the context of launch vehicles.