Active Flutter Suppression Analysis and Wind Tunnel Studies of a Commercial Transport Configuration

Marchetti, Luca; Gaspari, Alessandro De; Riccobene, Luca; Toffol, Francesco; Fonte, Federico; Ricci, Sergio; Mantegazza, Paolo; Livne, Eli; Hinson, Kimberly A.

doi:10.2514/6.2020-1677

Cited by 5 publications

(4 citation statements)

References 15 publications

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“…Despite the low Mach number, the large size of the chamber allows testing of large-scale models. The results of the PHASE I experimental campaign are reported in [22,23]. The PHASE II experimental campaign focused on active flutter suppression systems validation and was carried out in 2020.…”

Section: The Wind Tunnel Testsmentioning

confidence: 99%

“…The so-called F-XDIA (XDIA for Flutter) aeroservoelastic model, where XDIA means X aircraft of Dipartimento di Ingegneria Aerospaziale, has been thoroughly modified by changing the configuration and by the addition of wind tunnel model features that would allow the study of the effects of uncertainty on the performance and reliability of AFS [22][23]. The experimental activity was divided in two main phases: the first one focused on the wing only, while the second one was dedicated to the complete model and was carried out in the POLIMI's Large Wind Tunnel.…”

Section: Introductionmentioning

confidence: 99%

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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: The Wind Tunnel Testsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Ricci¹,

Toffol²,

Gaspari³

et al. 2022

AIAA Journal

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“…This influence has direct effect on wing performances and therefore is considered as one of the challenging problems. The aeromechanical design instructions can be revealed from the study on positioning and instability of the ailerons [20] at the trailing edge of different wings which were conducted by researchers via the Finite volume method [21,22]. Dixon and Mei expanded the use of the applicable design methods for composite panels as they are considered common materials in aerospace industry.…”

Section: Introductionmentioning

confidence: 99%

Aeroelastic Optimization of the High Aspect Ratio Wing with Aileron

Ghalandari¹,

Mahariq²,

Ghadak³

et al. 2022

Computers, Materials &Amp; Continua

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In aircraft wings, aileron mass parameter presents a tremendous effect on the velocity and frequency of the flutter problem. For that purpose, we present the optimization of a composite design wing with an aileron, using machine-learning approach. Mass properties and its distribution have a great influence on the multi-variate optimization procedure, based on speed and frequency of flutter. First, flutter speed was obtained to estimate aileron impact. Additionally mass-equilibrated and other features were investigated. It can deduced that changing the position and mass properties of the aileron are tangible following the speed and frequency of the wing flutter. Based on the proposed optimization method, the best position of the aileron is determined for the composite wing to postpone flutter instability and decrease the existed stress. The represented coupled aero-structural model is emerged from subsonic aerodynamics model, which has been developed using the panel method in multidimensional space. The structural modeling has been conducted by finite element method, using the p-k method. The fluid -structure equations are solved and the results are extracted.

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“…The Department of Aerospace Science and Technology (DAER) at Politecnico di Milano (PoliMi), in collaboration with the University of Washington, contributed to the so-called Active Flutter Suppression (AFS) project that aimed to validate active flutter suppression technologies. On the basis of its large amount of experience during the last 30 years in the design, manufacturing, and testing of wind tunnel aeroelastic models [12][13][14], DAER developed a dedicated wind tunnel model, called X-Dia, to be used for the AFS project and focused on these technologies, including uncertainties and robustness issues [15]. This paper reports the activity required to set up the numerical aeroelastic model and in particular the numerical vs. experimental aeroelastic correlation and updating phase.…”

Section: Introductionmentioning

confidence: 99%

Model Updating and Aeroelastic Correlation of a Scaled Wind Tunnel Model for Active Flutter Suppression Test

Leone¹,

Balbo²,

Gaspari³

et al. 2021

Aerospace

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This article presents a modal correlation and update carried out on an aeroelastic wind tunnel demonstrator representing a conventional passenger transport aircraft. The aim of this work is the setup of a corresponding numerical model that is able to capture the flutter characteristics of a scaled aeroelastic model designed to investigate and experimentally validate active flutter suppression technologies. The work described in this paper includes different finite element modeling strategies, the results of the ground vibration test, and finally the strategies adopted for modal updating. The result of the activities is a three-dimensional hybrid finite element model that is well representative of the actual aeroelastic behavior identified during the wind tunnel test campaign and that is capable of predicting the flutter boundary with an error of 1.2%. This model will be used to develop active flutter suppression controllers, as well as to perform the sensitivity analyses necessary to investigate their robustness.

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Active Flutter Suppression Analysis and Wind Tunnel Studies of a Commercial Transport Configuration

Cited by 5 publications

References 15 publications

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

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

Aeroelastic Optimization of the High Aspect Ratio Wing with Aileron

Model Updating and Aeroelastic Correlation of a Scaled Wind Tunnel Model for Active Flutter Suppression Test

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