Multimodal Estimation of Sine Dwell Vibrational Responses from Aeroelastic Flutter Flight Tests

Aircraft envelope expansion during new underwing stores installation is a challenging problem, mainly related to the aeroelastic flutter phenomenon. Aeroelastic models are usually very hard to model, and therefore flight tests are usually required to validate the aeroelastic model predictions, which...

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Autores principales:	Sami Abou-Kebeh, Roberto Gil-Pita, Manuel Rosa-Zurera
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Flutter Flight Test Matching Pursuit robust flutter data processing system identification very short time signals low frequency identification Motor vehicles. Aeronautics. Astronautics TL1-4050
Acceso en línea:	https://doaj.org/article/391bc721668c41b08fb168578f142502
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spelling	oai:doaj.org-article:391bc721668c41b08fb168578f1425022021-11-25T15:57:19ZMultimodal Estimation of Sine Dwell Vibrational Responses from Aeroelastic Flutter Flight Tests10.3390/aerospace81103252226-4310https://doaj.org/article/391bc721668c41b08fb168578f1425022021-11-01T00:00:00Zhttps://www.mdpi.com/2226-4310/8/11/325https://doaj.org/toc/2226-4310Aircraft envelope expansion during new underwing stores installation is a challenging problem, mainly related to the aeroelastic flutter phenomenon. Aeroelastic models are usually very hard to model, and therefore flight tests are usually required to validate the aeroelastic model predictions, which given the catastrophic consequences of reaching the flutter point pose an important problem. This constraint favors using short time excitations like Sine Dwell to perform the flight tests, so that the aircraft stays close to the flutter point as little time as possible, but short time data implies a poor spectrum resolution and therefore leads to inaccurate and non repetitive results. The present paper will address the problem related to processing Sine Dwell signals from aeroelastic Flutter Flight Tests, characterized by very short data length (less than 5 s) and low frequency (less than 10 Hz) and used to identify the natural modes associated with the structure. In particular, a new robust technique, the PRESTO algorithm, will be presented and compared to a Matching Pursuit estimation based on Laplace Wavelet. Both techniques have demonstrated to be very accurate and robust procedures on very short time (Sine Dwell) signals, with the particularity that the Laplace Wavelet estimation has already been validated over F-18 real Flutter Flight Test data as described in different papers. However, the PRESTO algorithm improves the performance and accuracy of the Laplace Wavelet processing while keeping its robustness, both on real and simulated data.Sami Abou-KebehRoberto Gil-PitaManuel Rosa-ZureraMDPI AGarticleFlutter Flight TestMatching Pursuitrobust flutter data processingsystem identificationvery short time signalslow frequency identificationMotor vehicles. Aeronautics. AstronauticsTL1-4050ENAerospace, Vol 8, Iss 325, p 325 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Flutter Flight Test Matching Pursuit robust flutter data processing system identification very short time signals low frequency identification Motor vehicles. Aeronautics. Astronautics TL1-4050
spellingShingle	Flutter Flight Test Matching Pursuit robust flutter data processing system identification very short time signals low frequency identification Motor vehicles. Aeronautics. Astronautics TL1-4050 Sami Abou-Kebeh Roberto Gil-Pita Manuel Rosa-Zurera Multimodal Estimation of Sine Dwell Vibrational Responses from Aeroelastic Flutter Flight Tests
description	Aircraft envelope expansion during new underwing stores installation is a challenging problem, mainly related to the aeroelastic flutter phenomenon. Aeroelastic models are usually very hard to model, and therefore flight tests are usually required to validate the aeroelastic model predictions, which given the catastrophic consequences of reaching the flutter point pose an important problem. This constraint favors using short time excitations like Sine Dwell to perform the flight tests, so that the aircraft stays close to the flutter point as little time as possible, but short time data implies a poor spectrum resolution and therefore leads to inaccurate and non repetitive results. The present paper will address the problem related to processing Sine Dwell signals from aeroelastic Flutter Flight Tests, characterized by very short data length (less than 5 s) and low frequency (less than 10 Hz) and used to identify the natural modes associated with the structure. In particular, a new robust technique, the PRESTO algorithm, will be presented and compared to a Matching Pursuit estimation based on Laplace Wavelet. Both techniques have demonstrated to be very accurate and robust procedures on very short time (Sine Dwell) signals, with the particularity that the Laplace Wavelet estimation has already been validated over F-18 real Flutter Flight Test data as described in different papers. However, the PRESTO algorithm improves the performance and accuracy of the Laplace Wavelet processing while keeping its robustness, both on real and simulated data.
format	article
author	Sami Abou-Kebeh Roberto Gil-Pita Manuel Rosa-Zurera
author_facet	Sami Abou-Kebeh Roberto Gil-Pita Manuel Rosa-Zurera
author_sort	Sami Abou-Kebeh
title	Multimodal Estimation of Sine Dwell Vibrational Responses from Aeroelastic Flutter Flight Tests
title_short	Multimodal Estimation of Sine Dwell Vibrational Responses from Aeroelastic Flutter Flight Tests
title_full	Multimodal Estimation of Sine Dwell Vibrational Responses from Aeroelastic Flutter Flight Tests
title_fullStr	Multimodal Estimation of Sine Dwell Vibrational Responses from Aeroelastic Flutter Flight Tests
title_full_unstemmed	Multimodal Estimation of Sine Dwell Vibrational Responses from Aeroelastic Flutter Flight Tests
title_sort	multimodal estimation of sine dwell vibrational responses from aeroelastic flutter flight tests
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/391bc721668c41b08fb168578f142502
work_keys_str_mv	AT samiaboukebeh multimodalestimationofsinedwellvibrationalresponsesfromaeroelasticflutterflighttests AT robertogilpita multimodalestimationofsinedwellvibrationalresponsesfromaeroelasticflutterflighttests AT manuelrosazurera multimodalestimationofsinedwellvibrationalresponsesfromaeroelasticflutterflighttests
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Multimodal Estimation of Sine Dwell Vibrational Responses from Aeroelastic Flutter Flight Tests

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