A computational interface for Steady-State Models: An FMI Extension

Mancuso, Giulio Mose'; Cremona, Fabio; Mangeruca, Leonardo; Ulisse, Alessandro; Mignogna, Alessandro; Boccabella, Stefano; Ferrari, Alberto; Guglielmo, Luigi Di

doi:10.2514/6.2018-3893

Cited by 1 publication

(1 citation statement)

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“…The approach, used in the MISSION project to handle model exchange between different tools has been demonstrated at TRL3 and TRL4 for the MISSION toolchain. [64][65][66] This comprises: SimulationX 60 as a modelling, simulation and analysis tool based on Modelica, VEOS 67 to run virtual tests of the controller software, ControlDesk 68 and FlightGear 69 to visualize simulation results, DESYRE 70 to simulate the electronic controller architecture and bus communication. Additional works developed in the context of the MISSION project propose test cases to demonstrate MISSION framework capabilities being developed to handle aircraft-system interaction, multifidelity models integration and trade-off studies.…”

Section: Aircraft-level Integrated Simulationmentioning

confidence: 99%

A modelling and simulation framework for the integrated design of aircraft systems

Cimmino

Ponnusamy

Garriga

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part G:

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New technologies and complex systems are being developed in commercial aviation to meet strict requirements regarding fuel consumption, emissions and noise constraints. This motivates the development of multidisciplinary environments to efficiently manage the increasing complexity of the design process. Under the Clean Sky 2 initiative, the ModellIng and Simulation tools for Systems IntegratiON on Aircraft (MISSION) project aims to develop an integrated framework to holistically support the aircraft design, development and validation processes. Within the MISSION framework, this paper proposes a methodology to handle the integration between the aircraft level and the system level in the early phase of aircraft design. The methodology is demonstrated for the case of the Landing Gear System in the rejected take-off scenario.

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Section: Aircraft-level Integrated Simulationmentioning

confidence: 99%