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Simulation scenarios are the key elements for performing experiments in flight simulators. A platform independent definition is crucial for conducting identical experiments in different devices. A scenario in general does not only specify the initial conditions, timeline of significant events and the related environmental conditions, but also the simulator configuration, which is required to run that particular experiment. The use of a well-formed language builds the foundation for managing this challenging task. In 2016 German Aerospace Center (DLR) and Embry Riddle Aeronautical University (ERAU) started to work on the development of a common simulation scenario definition language for the aviation domain. It has four major objectives: a) sharing scenario definitions across various facilities and experts, b) boosting interoperability of scenario definition tools and execution infrastructures, c) increasing the quality of scenarios by formal completeness and consistency checking approaches, and d) enable automated scenario generation using language constructs. With these objectives a working group was initiated by the American Institute of Aeronautics and Astronautics (AIAA) Modeling and Simulation Technical Committee (MSTC). The group fosters the international exchange of expertize on scenario definition in the aeronautics community and focusses on the standardization of the language. This presentation introduces the main ideas and requirements, and reports about the two approaches for developing the scenario definition language.

Simulating large scale complex real-time systems requires enabling infrastructure for real-time co-simulation of various subsystems with complex behaviors and interfaces. AVES (Air Vehicle Simulator) is a reconfigurable flight simulator of the Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) for research into rotorcraft and fixed-wing aircraft behavior. Complex models of aircraft subsystems in AVES required a distrib-uted real-time simulation framework. This paper presents 2Simulate, the enabling simulation infrastructure of the AVES facility that facilitates integrating a wide range of models and simulation hardware and software components. 2 Simulate is a unique simulation infrastructure being domain independent and methodology neutral. Its three components, 2SimCC, 2SimRT and 2SimMC, provide various capabilities including simulation control, task scheduling, model integration and hardware/software interfacing.