New Method of Modeling Uncertainty for Robust Flutter Suppression

Qian, Wenmin; Huang, Rui; Hu, Haiyan; Zhao, Yonghui

doi:10.2514/1.c031987

Cited by 13 publications

(1 citation statement)

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“…Moulin [9] designed a flutter suppression controller for an aeroelastic plant incorporating airspeed and air density variations. Qian et al [10] presented a new scheme to model the uncertainty block with reduced order, which is convenient for the design of robust controller. Both Idan and Qian's models do not account for the effect of Mach number on generalized aerodynamic force, which is essential for a flexible vehicle flying at subsonic speed.…”

Section: Introductionmentioning

confidence: 99%

Gust Load Alleviation with Robust Control for a Flexible Wing

Liu¹,

Qin

2016

Shock and Vibration

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Traditional methods for gust alleviation of aircraft are mostly proposed based on a specific flight condition. In this paper, robust control laws are designed for a large flexible wing with uncertainty in Mach number and dynamic pressure. To accurately describe the aeroelastic model over a large flight envelope, a nonlinear parameter-varying model is developed which is a function of both Mach number and dynamic pressure. Then a linear fractional transformation is established accordingly and a modified model order reduction technique is applied to reduce the size of the uncertainty block. The developed model, in which the statistic nature of the gust is considered by using the Dryden power spectral density function, enables the use of -synthesis procedures for controller design. The simulations show that the controller can always effectively reduce the wing root shear force and bending moment at a given range of Mach number and dynamic pressure.

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Section: Introductionmentioning

confidence: 99%