B. Annighöfer, F. Thielecke

Distributed integrated modular avionics (DIMA) is a promising concept in aircraft avionics. Aircraft systems share resources like calculation power, memory, and sensor/actuator interfaces. Resources are provided by generalized devices, which can be installed in distributed aircraft locations. Because of the size and complexity, valid and optimal design of such systems is, however, a hard task if carried out manually. It is shown how to support this difficult task by solving subtasks of architectural design as mathematical optimization problems. Allocation problems of both, software mapping and device installation, are formulated as binary integer programs. Those are used to optimize full or sub-parts of avionics architectures for certain objectives, e.g. mass and operational interruption cost, while considering all resource and secondary system requirements. A suitable global optimal solver is proposed for solving resulting combinatorial optimization problems, which are challenging in complexity and size. The potential of the proposed approaches is demonstrated with a reference architecture composed of four redundant aircraft systems. In comparison with manual mappings this reveals optimization potentials up to 45%, while calculation times stay below one minute.

Deutscher Luft- und Raumfahrtkongress 2012, Berlin

Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V., Bonn, 2013

Conference Paper

englisch

21,0 x 29,7 cm, 9 Seiten

urn:nbn:de:101:1-201301213164

IMA, optimization

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18.01.2013