Modelling and Simulation Tools for Systems Integration on Aircraft

Valdivia-Guerrero, Virgilio; Foley, Raymond; Riverso, Stefano; Govindaraju, Parithi; Elsheikh, Atiyah; Mangeruca, Leonardo; Burgio, Gilberto; Ferrari, Alberto; Gottschall, Marcel; Blochwitz, Torsten; Bloch, Serge; Taylor, Danielle; Hayes-McCoy, Declan; Himmler, Andreas

doi:10.4271/2016-01-2052

Cited by 10 publications

(5 citation statements)

References 17 publications

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“…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. 5,6,72 In terms of validation, two different types of test scenarios are considered. The first is the evaluation of SUT impact on other systems or on the aircraft, and the second is the aircraft's or other system's impact on the SUT.…”

Section: Aircraft-level Integrated Simulationmentioning

confidence: 99%

“…However, the path to a holistic integrated framework for a whole aircraft, involving multi-physics modelling and simulation, multi-objective optimization, model-based design of algorithms and virtual testing is still long. 5 Continuing the same theme as in previous EU projects, MISSION (Modelling and Simulation Tools for Systems Integration), 5 a project developed under the European Union Clean Sky 2, 28 aims to develop and demonstrate an integrated modelling, simulation, design and optimization framework based on Model-Based Systems Engineering principles oriented to the aerospace industry. In this paper, we propose a method to manage the integration between different aircraft systems and the aircraft-level flight dynamics in the conceptual aircraft design phase.…”

Section: Introductionmentioning

confidence: 99%

“…This is mainly due to the one-way requirements flow (usually top-down), that leads to suboptimal solution at system level and is unable to capture the impact that a change at system level has on the aircraft level, thus limiting the adoption of novel system architectures. 5,6 Literature comprises of a wide range of alternative approaches to support system integration for aircraft design. Major efforts focus on the development and formalization of methodologies to support system integration and design optimization.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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:

View full text Add to dashboard Cite

show abstract

“…The dilemma is enhanced by a growing number of interactions, even beyond system boundaries, due to more complex systems with an increased number of functions. In order to overcome this challenge as well as to minimize the physical testing effort in general, currently an important research focus lies on virtual testing methods [5,6,7]. Reliable models and accurate parameter values are essential prerequisites for virtual testing.…”

Section: Introductionmentioning

confidence: 99%

Modeling and simulation of a multi-functional high-lift actuation system based on key performance data

Schäfer¹,

Hollmann²,

Bertram³

2020

Proceedings ASIM SST 2020

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“…The work presented in this paper is part of the efforts in the ModellIng and Simulation tools for Systems IntegratiON on Aircraft (MISSION) project [9], which is part of the Clean Sky 2 initiative. The main objective of the overall project is to develop an integrated modeling and simulation framework capable of supporting the entire aircraft development cycle and enable collaboration between different entities through the use of open standards such as the Functional Mock-up Interface [10,11], a cross-tool standard for co-simulation and model exchange.…”

Section: Introductionmentioning

confidence: 99%

A Machine Learning Enabled Multi-Fidelity Platform for the Integrated Design of Aircraft Systems

Garriga

Mainini

Ponnusamy

2019

Journal of Mechanical Design

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The push toward reducing the aircraft development cycle time motivates the development of collaborative frameworks that enable the more integrated design of aircraft and their systems. The ModellIng and Simulation tools for Systems IntegratiON on Aircraft (MISSION) project aims to develop an integrated modelling and simulation framework. This paper focuses on some recent advancements in the MISSION project and presents a design framework that combines a filtering process to down-select feasible architectures, a modeling platform that simulates the power system of the aircraft, and a machine learning-based clustering and optimization module. This framework enables the designer to prioritize different designs and offers traceability on the optimal choices. In addition, it enables the integration of models at multiple levels of fidelity depending on the size of the design space and the accuracy required. It is demonstrated for the electrification of the Primary Flight Control System (PFCS) and the landing gear braking system using different electric actuation technologies. The performance of different architectures is analyzed with respect to key performance indicators (fuel burn, weight, power). The optimization process benefits from a data-driven localization step to identify sets of similar architectures. The framework demonstrates the capability of optimizing across multiple, different system architectures in an efficient way that is scalable for larger design spaces and larger dimensionality problems.

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Modelling and Simulation Tools for Systems Integration on Aircraft

Cited by 10 publications

References 17 publications

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

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

Modeling and simulation of a multi-functional high-lift actuation system based on key performance data

A Machine Learning Enabled Multi-Fidelity Platform for the Integrated Design of Aircraft Systems

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