Abstract
The aeroservoelastic modeling of flexible structures leads in general to large dimensional linear parameter varying (LPV) models. These models are intractable by the most analysis and control synthesis algorithms. Therefore, efficient model order reduction methods are needed. This paper investigates two approaches. Both are based on decoupling the large-scale model into smaller dynamical components, that are easier to reduce by balanced reduction techniques. While the first approach exploits the a-priori known, specific structure of the model, the second method algorithmically generates the low-level subsystems by performing a modal transformation and clustering the modes of similar dynamical behavior. The properties of the methods are analyzed via the reduction of the large-scale aeroelastic model of the BAH jet transport wing.
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