Wing Deformation Measurement As Bases for In-flight Aerodynamics

Tagai, Rie; Nakakita, Kazuyuki; Kurita, Minoru; Nakajima, Tasuku

doi:10.2514/6.2016-3355

Cited by 1 publication

(1 citation statement)

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“…An alternative flight dynamics model-free approach is to employ sighting devices and stereo-vision tracking of visual references on the wing. Whereas by using existing rivets or joint lines (natural candidates for markers) Tagai et al [2] failed to achieve satisfactory estimation accuracy on a Beechcraft Type 65 Queen Air, experiments with artificial markers yielded subpixel precision. Alternatively, Meyer et al [3] employed the image pattern correlation technique (IPCT) to exploit surfaces covered with random patterns (i.e., texture) to estimate wing, slat, and flap deformations on an Airbus A320.…”

Section: ∈ R 3×3mentioning

confidence: 99%

Aided Inertial Estimation of Wing Shape

Lustosa

Kolmanovsky

Cesnik

et al. 2021

Journal of Guidance, Control, and Dynamics

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Advanced large-wing-span aircraft result in more structural flexibility and the potential for instability or poor handling qualities. These shortcomings call for stability augmentation systems that entail active structural control. Consequently, the in-flight estimation of wing shape is beneficial for the control of very flexible aircraft. This paper proposes a new methodology for estimating flexible structural states based on extended Kalman filtering by exploiting ideas employed in aided inertial navigation systems. High-bandwidth-rate gyro angular velocities at different wing stations are integrated to provide a short-term standalone inertial shape estimation solution, and additional low-bandwidth aiding sensors are then employed to bound diverging estimation errors. The proposed filter implementation does not require a flight dynamics model of the aircraft, facilitates the often tedious Kalman filtering tuning process, and allows for accurate estimation under large and nonlinear wing deflections. To illustrate the approach, the technique is verified by means of simulations using sighting devices as aiding sensors, and an observability study is conducted. In contrast to previous work in the literature based on stereo vision, a sensor configuration that provides fully observable state estimation is found using only one camera and multiple rate gyros for Kalman filtering update and prediction phases, respectively. Nomenclature

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Section: ∈ R 3×3mentioning

confidence: 99%