Streamlining Cross-Organizational Aircraft Development: Results from the AGILE Project

Ciampa, Pier Davide; Prakasha, Prajwal S.; Torrigiani, Francesco; Walther, Jan-Niclas; Lefèbvre, Thierry; Bartoli, Nathalie; Timmermans, Huub; Vecchia, Pierluigi Della; Stingo, Luca; Rajpal, D.; Gent, Imco van; Rocca, Gianfranco La; Fioriti, Marco; Cerino, Giovanni; Maierl, Reinhold; Charbonnier, Dominique; Jungo, Aidan; Aigner, Benedikt; Anisimov, Kirill; Mirzoyan, Artur; Voskuijl, Mark

doi:10.2514/6.2019-3454

Cited by 21 publications

(21 citation statements)

References 18 publications

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“…The project, funded by the EU Horizon 2020 scheme, has started on June 2015 and concluded on November 2018. In order to enable the so-called "3 rd generation MDAO" and to accelerate the deployment of large-scale, collaborative multidisciplinary design and optimization processes, a novel approach, the so-called "AGILE Paradigm" [7] [8] has been developed.…”

Section: Overview Agile Paradigm and Agile Frameworkmentioning

confidence: 99%

“…As recalled in Section II, during the AGILE project a systematic approach has been developed with focus on accelerating the deployment and the operation of MDAO systems, and in turns accelerating the collaborative development of aircraft products. As outcome of such a shift of focus, the AGILE Paradigm has been formulated as a "blueprint for MDAO", which has proven to achieve drastic time saving to resolve collaborative MDAO problems, well above the 40% goal of the project [8].…”

Section: B a Mbse Approach To Mdao Design Systemsmentioning

confidence: 99%

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A MBSE Approach to MDAO Systems for the Development of Complex Products

Ciampa

Nagel

Rocca

2020

Aiaa Aviation 2020 Forum

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The research and innovation AGILE project has developed an approach, the socalled AGILE Paradigm, focusing on the acceleration of the deployment and operation of collaborative Multidisciplinary Design Analysis Optimization systems, which in turns can be exploited to accelerate the development of complex products, such as novel aerospace systems. Although the technologies developed for the implementation of the paradigm, have proved to reduce the deployment and operational time to more than 40% with respect to conventional MDAO approaches, the AGILE Paradigm has not been formalized and model by digital design engineering practices. This work introduces a novel approach leveraging MBSE principles to streamline the development of agile MDAO design systems, and establishing a bridge between MBSE and MDAO. Major outcomes here presented are the MBSE-driven models of the so-called AGILE MDAO system, representing the architecture, the requirements, as well as the organizational aspects, and all the interactions and activities implemented during the life-cycle stages of the MDAO system. The MBSE Architectural Framework, which defines the underlying ontological concepts and perspectives driving the development of the AGILE MDAO system model, are modeled and presented as well. The paper introduces for the first time the overall approach, as well as the high-level elements of the models developed, here represented by making use of SysML standard. The described approach is at the core of the recently launched project AGILE4.0, in which its scope will be expanded to cover the entire life-cycle of the development of complex aeronautical systems.

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Section: Overview Agile Paradigm and Agile Frameworkmentioning

confidence: 99%

Section: B a Mbse Approach To Mdao Design Systemsmentioning

confidence: 99%

A MBSE Approach to MDAO Systems for the Development of Complex Products

Ciampa

Nagel

Rocca

2020

Aiaa Aviation 2020 Forum

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“…Recent research projects on simulation and modelling frameworks do focus on the above mentioned topics flexibility, adaptability and model re-usability such as the AGILE [2] or the OM-simulator [3] projects. Also, commercial tool vendors support various inter-disciplinary integration environments (such as modeFRONTIER, LMS Amesim, RCE, TechnoSoft AML, ANSYS) that allow a effort-less tool integration by supporting communication protocols, workflow process control and optimization algorithms.…”

Section: Co-simulation Strategies and The Problem Of Complexitymentioning

confidence: 99%

Towards a Complete Co-Simulation Model Integration Including HMI Aspects

Staack

Schminder

Shahid

et al. 2019

Proceedings of the 10th Aerospace Technology Congress, October 8-9, 2019, Stockholm, Sweden

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Modern aircraft can be seen as heterogeneous systems, containing multiple embedded subsystems which are in today's simulations split into different domain-specific models based on different modelling methods and tools. This paper addresses typical workflow-driven model integration problems with respect to model fidelity, accuracy in combination with the selected abstraction methods and the target system characteristics. A short overview of integration strategies with the help of cosimulation frameworks including an analysis of the inherent problems that emerge because of different domain-specific modelling methods is being given. It is shown that huge benefits can be reached with the help of a smart system break-up. In detail, the discrepancy between the cyber-physical system simulations and human-machine interaction (HMI) models are being analysed. Therefore, a close look on typical shortcomings of behavioural models are being discussed, too. To enable an effortless human-in-the-loop integration into a cyber-physical system simulation, the usage of flight simulation software, offering real-time capability and a graphical user interface is suggested. This approach is applied to overcome today's complexity and shortcomings in human psychological models. An example implementation based on a commercial flight simulator software (X-Plane) together with a high-performance system simulation tool (Hopsan) via UDP communication is presented and analysed.

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“…In this paper, a methodology for an integrated and collaborative approach to preliminary aircraft design is presented. It applies several well established components, such as CPACS (Common Parametric Aircraft Configuration Schema) [2] as a central product data schema and RCE (Remote Component Environment) [3] which enables an automated collaborative approach to aircraft design and combines them with methods from system architecting and model-based engineering [4]. Furthermore, the requirements for a disciplinary analysis and design tool to contribute to an integrated multidisciplinary design process are highlighted.…”

mentioning

confidence: 99%

“…• An unmanned aerial vehicle from the AGILE project [4], where a cross-organizational workflow has been set up in order to perform aero-structural MDO on the wing planform [5].…”

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confidence: 99%