Computational fluid dynamics-based aero-servo-elastic analysis for gust load alleviation

Abstract

Gust load alleviation using computational fluid dynamics as source of the aerodynamic predictions is carried out in the time domain. To this goal, an aero-servo-elastic reduced order model is generated. The model capitalises on two key aspects: a dimensional reduction through proper orthogonal decomposition, further enhanced via balanced truncation; and an analytically derived mechanism to reproduce the gust effects in the reduced order model. The compact model in state-space form thus obtained was then used for control design synthesis. Assuming information on the structural motion only is accessible for feedback, a linear quadratic regular was designed, first, on the reduced model, and then validated on the large computational model. Results
are presented for two configurations: an aerofoil and the modified AGARD 445.6 wing, both with a trailing-edge control surface. Studies are presented for the gust response to discrete gusts and continuous turbulence. In particular, for the latter, the standard deviation of the loads and the structural motion was reduced as much as 77%.

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ORCID for Andrea Da Ronch: orcid.org/0000-0001-7428-6935

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