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Communication Dans Un Congrès Année : 2023

Active Flutter Suppression H∞ Synthesis using Multiple Models with Imposed Aeroelastic Poles

Résumé

A novel approach for robust active flutter suppression is studied in this work. Based on a structural and a linear unsteady aerodynamic models obtained by finite-element and doublet- lattice methods respectively, a hybrid identification technique is developed. It first computes a reliable poles-residues decomposition of a high-order model, in order to impose aeroelastic poles to a reduced-order model. The remaining unknown term is identified with the Loewner method. A complete control synthesis procedure based on a single closed-loop H∞ criterion is developed, starting with an optimal actuators and sensors selection based on a genetic algo- rithm, to the progressive design of a robust LPV control law, that efficiently stabilizes models at a given range of velocities. These techniques are validated with parameterized reliable high- order aeroelastic models.
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Dates et versions

hal-03975205 , version 1 (06-02-2023)

Identifiants

Citer

Hugo Fournier, Robin Vernay, Paolo Massioni, Minh Tu Pham, Laurent Bako. Active Flutter Suppression H∞ Synthesis using Multiple Models with Imposed Aeroelastic Poles. AIAA SCITECH 2023 Forum, Jan 2023, National Harbor, United States. ⟨10.2514/6.2023-0686⟩. ⟨hal-03975205⟩
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