B. Annighöfer, F. Thielecke

This work presents a novel holistic framework for Distributed Integrated Modular Avionics (DIMA) architecture design and optimization. IMA is a standardization of avionics components. IMA is beneficial in weight and costs if the complexity of sizing, function allocation, and topology selection is mastered. A holistic framework enables model and algorithm-aided design of avionics architectures. Domain specific modeling of systems software, hardware, and aircraft anatomy enables automated verification and early evaluation of architectures. Moreover, the model is the foundation for a flexible kit of eight optimization routines. For design issues in which humans likely lose the overview optimization routines are proposed. Automation ranges from function mapping over routing to a complete architecture generation. Routines for platform selection, network, and topology optimization are unique and unrivaled today. All optimization problems are solved globally optimal and a multi-objective solving algorithm calculates the best trade-off architectures for contradicting objectives, the Pareto optimum. All optimization routines are extensively tested by designing the optimal DIMA architecture for aircraft system functions in an A320-like scenario. Results show significant optimization potential of generated architectures compared to a manually designed one. The resulting architectures are analyzed and compared in performance and structure in detail.

Deutscher Luft- und Raumfahrtkongress 2014, Augsburg

Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V., Bonn, 2014

Conference Paper

englisch

21,0 x 29,7 cm, 10 Seiten

urn:nbn:de:101:1-2014120519826

Architecting, Avionik

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05.12.2014