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Aeroelastic Vibration Measurement Based on Laser and Computer Vision Technique

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Abstract

The new aeronautical structures have become more flexible and light weight to reduce energy consumption, emissions, and noise, and to operate at high altitudes for long periods in the air, such as those required in the NASA Helios project. The increased structural flexibility of these aircraft has reignited concerns related to aeroelastic instabilities, such as flutter. Improving the techniques and methods used in aircraft certification flights is an important concern of the aeronautical community, because current standards and procedures do not provide recommendations and guidelines for aircraft with a high degree of flexibility. The techniques traditionally used in commercial airplanes cannot be used in this new aircraft concept, because they have a high degree of non-linearity in their flight dynamics. Current research indicates an increasing awareness about the importance of vision in the monitoring of UAV structural health. This work presents a new methodology to measure natural frequencies of aeronautical structures using a computer vision system. We also discusses new approaches to sense and acquire vibration data on aeroelastic certification flights test. These new approaches aim to reduce both the time required to identify the aeroelastic phenomenon and the size of the hardware that must be boarded on the aircraft, thus minimizing the risks and costs of the vibration tests. The advance of computer vision systems enables the use of cameras as a motion tracker sensor with millimeter precision and accuracy. Non-contact sensors are suitable for flutter analysis because they do not interfere with the dynamics of the aircraft. Therefore, this new methodology is able to process the obtained images and provide the user with the data about movements in a ready to use vector, at a reasonable cost. Using the data provided by this methodology the natural frequencies of the first bending modes were identified. This new methodology can be a user-friendly tool to support the Brazilian National Civil Aviation Agency - ANAC program called iBR 2020, which aims to certify small aircraft.

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Acknowledgements

The authors of this paper would like to acknowledge Prof. Dr. Luiz Carlos Sandoval Góes and Aeronautical System Laboratory members who contributed in some way for this work. The authors want to extend their special thanks to the Brüel & Kjaer for the technical support to perform the experiments described in this work. The authors are grateful for the funding of CAPES and FINEP.

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Authors and Affiliations

  1. Divisão de Engenharia Eletrônica, Instituto Tecnológico de Aeronáutica – ITA, São José dos Campos, Brazil

    H.V. de Figueiredo & O. Saotome

  2. Divisão de Engenharia Mecânica e Aeronáutica, Instituto Tecnológico de Aeronáutica – ITA, São José dos Campos, Brazil

    D.F. Castillo-Zúñiga & R.G.A. da Silva

  3. Divisão de Ciência e Tecnologia Espacial, Instituto Tecnológico Aeronáutica – ITA, São José dos Campos, Brazil

    N.C. Costa

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  1. H.V. de Figueiredo
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de Figueiredo, H., Castillo-Zúñiga, D., Costa, N. et al. Aeroelastic Vibration Measurement Based on Laser and Computer Vision Technique. Exp Tech 45, 95–107 (2021). https://doi.org/10.1007/s40799-020-00399-0

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