Low-Order $\mathcal{H}_2 / \mathcal{H}_\infty$ Controller Design for Aeroelastic Vibration Suppression
Mohammad Mirtaba, Juan Augusto Paredes Salazar, Daning Huang, Ankit Goel

TL;DR
This paper develops a low-order $H_2 / H_inf$ output-feedback controller for active suppression of aeroelastic vibrations in a cantilevered beam, using a combined nonlinear modeling, FEM discretization, and data-driven model reduction approach.
Contribution
It introduces a novel $H_2 / H_inf$ control design methodology incorporating frequency-weighted filters for aeroelastic vibration suppression.
Findings
Effective vibration suppression demonstrated in simulations
Controller robustness to parameter variations confirmed
Frequency-weighted approach enhances disturbance targeting
Abstract
This paper presents an minimization-based output-feedback controller for active aeroelastic vibration suppression in a cantilevered beam. First, a nonlinear structural model incorporating moderate deflection and aerodynamic loading is derived and discretized using the finite element method (FEM). Then, a low-order linear model is identified from random gaussian input response data from the FEM model to synthesize an output-feedback controller using the framework. A frequency-weighted dynamic filter is introduced to emphasize disturbance frequencies of interest, enabling the controller to target dominant vibration modes. Simulation results demonstrate the effectiveness of the proposed technique for vibration suppression and study its robustness to system parameter variations, including actuator placement.
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Taxonomy
TopicsAeroelasticity and Vibration Control · Vibration Control and Rheological Fluids · Model Reduction and Neural Networks
