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Communication Dans Un Congrès Année : 2022

Sizing a Drone Battery by coupling MBSE and MDAO

Résumé

Drones have increasingly been used to assist Humans for rescue and surveillance missions. To do so, their design turns out to be a challenging issue, in particular when their autonomy is expected by sizing of batteries. Thus, solutions are to be sought to engineer a drone rigorously while specifying its main features. This paper introduces a work in progress aiming to bridge the gap between two engineering disciplines that have so far been developed separately: Model Based Systems Engineering (MBSE) and Multidisciplinary Design Analysis and Optimization (MDAO). Coupling of MBSE and MDAO is addressed in terms of language, tools, and methods.
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Dates et versions

hal-03740634 , version 1 (29-07-2022)

Identifiants

  • HAL Id : hal-03740634 , version 1

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Ombeline Aïello, Olivier Poitou, Jean-Charles Chaudemar, Pierre De Saqui-Sannes. Sizing a Drone Battery by coupling MBSE and MDAO. 11th European Congress Embedded Real Time Systems (ERTS) 2022, Jun 2022, Toulouse, France. ⟨hal-03740634⟩
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