Dynamic Data-Driven Approach for Unmanned Aircraft Systems and Aeroelastic Response Analysis

In this chapter, we will discuss how DDDAS ideas can be used to enhance the autonomy of an unmanned system, while accounting for nonlinear behavior of the system. Our approach is illustrated in the context of an unmanned aerial vehicle, such as the joined wing SensorCraft. It will be shown as to how DDDAS can be used to enhance the performance envelope as well as avoid aeroelastic instabilities, while reducing the need for user input. The DDDAS methodology and its application to this field for prediction are described in a framework that consists of an offline component and an online component.

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