Analytical and Experimental Evaluation of Multivariable Stability Margins in Active Flutter Suppression Wind Tunnel Tests

Berg, John; Morgansen, Kristi A.; Livne, Eli; Riccobene, Luca; Fonte, Federico; Toffol, Francesco; Gaspari, Alessandro De; Marchetti, Luca; Ricci, Sergio; Mantegazza, Paolo

doi:10.2514/6.2021-1261

Cited by 3 publications

(2 citation statements)

References 35 publications

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“…Table 9 provides a summary of the SOF robustness investigations carried out during the tests in the large POLIMI wind tunnel. A more detailed robustness analysis of SOF controller together with the other controllers tested during the wind tunnel experimental campaign, and not reported here, can be found in [40]. In conclusion, the designed SOF controller was able to control the flutter instability and to expand the flight envelope by 13% in terms of airspeed (about 28% in dynamic pressure).…”

Section: Robustness Checksmentioning

confidence: 81%

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Wind Tunnel System for Active Flutter Suppression Research: Overview and Insights

Ricci¹,

Toffol²,

Gaspari³

et al. 2022

AIAA Journal

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The paper describes the development of a new state of the art large wind tunnel model for active flutter suppression studies as well as the supporting techniques used in tests focused on the effects of uncertainty. Design guidelines and the resulting aeroelastic characteristics of the model are covered together with representative test results. Those would allow other researchers working in this area to develop control laws for the new model and evaluate them. A number of important lessons and insight are reported regarding the design of the model, the level of success of commonly used mathematical modelling techniques to capture its behaviour, sources of analysis / test correlation discrepancies, multi-function utilization of control surfaces for both system identification and flutter suppression, active flutter suppression testing safety, and techniques for estimating by tests of the robustness of closed-loop active aeroservoelastic systems. The new system has made it possible to repeatedly "push" the actively controlled model, using various flutter suppression control laws, safely, to the actual flutter limit in tests numerous times. This capability

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Section: Robustness Checksmentioning

confidence: 81%

“…Because of the focus of the present paper on the innovations involved in and the details of the new wind tunnel system for AFS research, exploratory results with only the SOF controller are presented here, while details about the other controllers and their performances can be found in [40].…”

Section: Fig 15: General Simulink Scheme Of the Afs Controllermentioning

confidence: 99%

Wind Tunnel System for Active Flutter Suppression Research: Overview and Insights

Ricci¹,

Toffol²,

Gaspari³

et al. 2022

AIAA Journal

Self Cite

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Aeroservoelastic Wind Tunnel Evaluation of Preview H2 and H∞ Gust Load Alleviation

Ting

Mesbahi

Livne

2023

Journal of Guidance, Control, and Dynamics

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Studies of preview gust load alleviation [Formula: see text] and [Formula: see text] controllers via synthesis, simulation, wind tunnel tests, and test/simulation correlation are presented in this paper. University of Washington active aeroservoelastic wind tunnel model design, construction, and testing capabilities are used. The test article is a flexible half wing–body–tail model with active control surfaces of two ailerons and an elevator. The model moves in a combination of rigid-body and elastic motions. The commands of gust vanes are used both to generate gusts and to provide real-time preview gust encounter information. A discrete-time linear-time-invariant output feedback system is augmented with various preview lengths of information. The experimental results show that gust loads are reduced with gust preview information compared to feedback-only control and are halved with the fullest gust preview information compared to the open-loop case. The wind tunnel results validated the simulations and added insights to the performance of preview [Formula: see text] and [Formula: see text] control implementation. The closed-loop analysis quantified the margins and robustness of the systems and correlated with the time history of both simulations and experiments. This paper presents preview gust load alleviation robust control test results, not available so far, in a realistic experimental setting.

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An Active Flutter Suppression (AFS) Project: Overview, Results and Lessons Learned

Ricci

Marchetti

Riccobene

et al. 2021

AIAA Scitech 2021 Forum

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Analytical and Experimental Evaluation of Multivariable Stability Margins in Active Flutter Suppression Wind Tunnel Tests

Cited by 3 publications

References 35 publications

Wind Tunnel System for Active Flutter Suppression Research: Overview and Insights

Wind Tunnel System for Active Flutter Suppression Research: Overview and Insights

Aeroservoelastic Wind Tunnel Evaluation of Preview H2 and H∞ Gust Load Alleviation

An Active Flutter Suppression (AFS) Project: Overview, Results and Lessons Learned

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