Complex aircraft systems have properties that are both multidisciplinary and highly interdependent. Multidisciplinary modeling of these complex systems requires that each discipline inform and be informed by the other disciplines simultaneously. Furthermore, multifidelity modeling, where any single discipline model of varying fidelity may be used interchangeably with the other discipline models of non-similar fidelity, requires that discipline models of all fidelities be capable of interacting with the multidisciplinary system in the same way. This paper describes a Bayesian-based multifidelity design optimization framework for a medium-altitude remotely piloted aircraft. The various disciplines and corresponding fidelities represented in the design problem, structures, propulsion, and aerodynamics, are briefly described in their context for interaction with the framework. Finally, the results of the system design tools at varying fidelities are described as it pertains to aircraft design and optimization.
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