Abstract
This work presents a novel holistic framework for Distributed Integrated Modular Avionics (DIMA) architec-
ture 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 de-
sign 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 contra-
dicting objectives, the Pareto optimum. All optimization routines are extensively tested by designing the op-
timal DIMA architecture for aircraft system functions in an A320-like scenario. Results show significant opti-
mization potential of generated architectures compared to a manually designed one. The resulting architec-
tures are analyzed and compared in performance and structure in detail.
Users
Please
log in to take part in the discussion (add own reviews or comments).