MBSE technology such as simulation has been adopted for decades at ESA and European industry. During the lifecycle of a space mission a number of models are developed to support simulation and other analysis capabilities addressing needs specific of the project phase. Typical concerns are: feasibility assessment, design optimization and validation, system performance and safety assessments or detail design verification and on-board software validation.
The ROBDT project aims at developing a Robotic Digital Twin framework that combines data-driven models, physics-based and symbolic models and uses online data and data analytics to adapt models at runtime. The digital twin will support the robotic asset operations by providing timing and reliable prediction and by supporting what-if analysis to assess multiple scenarios.
The project is lead by TRASYS, and contributed by GMV and FBK.
FBK participates with the ES and DSIP units and will contribute with AI and MBSE tools and techniques for
– planning and scheduling
– machine learning and data analysis
– model-based design of control, diagnosis and FDIR.