Modelling and Simulation
With steadily increasing adoption of modelling and simulation, significant benefits of a more consistent approach to simulation across project phases have been achieved. Effective use of modelling and simulation within the system engineering process is clearly desirable, to minimise the overall space programme schedule, risk and cost. In industrial facilities, simulation and test systems are more commonly used, and are capable of bridging multiple projects and phases. Furthermore, significant commonality exists between the infrastructure and models developed for each of these facilities. The following objectives have been identified:
- Maximise the benefits of using modelling and simulation in support of Systems Engineering
- Reduce effort in developing and maintaining simulators over the system life-cycle.
- Preserve investment in modelling a system, independently of the tools.
- Improve collaboration between involved teams and communities by addressing distribution and interoperability aspects.
- Facilitate and encourage reuse from phase to phase, project to project.
The contribution of Modelling and Simulation is particularly important for the focus in 2023, where we encourage presentations of developments and technologies to establish a “Digital Twin”, as well as their use in an industrial context.
- Simulation as support to System Engineering
- Simulation as support to concurrent and collaborative engineering
- Simulation to support design verification
- Ultra realistic spacecraft model concept (Digital Twin)
- End-to-End simulation systems, performance simulations
- Distributed processing: advanced scheduling, parallel running models, cloud approaches
- Agent Based Simulators
- Real-Time simulation: scheduling and data communication
- Visualisation of simulation data
- Simulator verification and validation methods
- Simulation infrastructures – Evolution Status
ESA Conference Bureau / ATPI Corporate Events
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