Abstract
In this work, a study to design a highly flexible flutter demonstrator for the development and testing of active flutter suppression is presented. Based on the UAV mission, a bi-objective design optimization problem can be formulated. The aeroelastic UAV characteristic and imposed constraints, defined by operational aspects and the structural integrity are described by surrogate modeling. Within the framework of the multi-criteria optimization, an approach to construct the equally spaced Pareto frontier with a new approach for non-convex problems is presented. An efficient Pareto configuration to meet a natural low speed and low frequency is identified and its main influencing design features are analyzed.
Highlights
The possible loss of the aircraft and personal injury are significant risks for medium-sized to full scale aircraft. Projects such as the X-56A [9] and FLEXOP [10] attempt to investigate technologies such as flutter suppression, wing stabilization capabilities or active load reduction for wings with higher aspect ratio based on demonstrators for unmanned aerial vehicles (UAV)
Radial basis functions (RBFs) are used for surrogate modeling because they can represent the response values at the construction points and their accuracy can be further refined with additional support points
An approach to investigate the influence of the basic wing planform for a UAV flutter demonstrator with a natural critical flutter frequency at low speed was investigated
Summary
Improving aircraft technologies with respect to performance and costs is a constant challenge for aerospace researchers. Aircraft are designed to avoid flutter under normal flight conditions and ensure an adequate safety margin from the flutter boundary This is normally achieved in a passive manner by adjusting the stiffness and mass distribution in the structural design as required. This approach has the disadvantage that it cannot adapt to changing flight conditions, such as those resulting from fuel consumption. The possible loss of the aircraft and personal injury are significant risks for medium-sized to full scale aircraft Projects such as the X-56A [9] and FLEXOP [10] attempt to investigate technologies such as flutter suppression, wing stabilization capabilities or active load reduction for wings with higher aspect ratio based on demonstrators for unmanned aerial vehicles (UAV). Surrogate modeling to make the simulation computationally tractable and the problem formulation as a multi-optimization task, that includes a method for solving a non-convex spaced Pareto frontier, is used to identify possible UAV configurations
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