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Journal of Sensors and Sensor Systems An open-access peer-reviewed journal
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Volume 6, issue 1
J. Sens. Sens. Syst., 6, 211–222, 2017
https://doi.org/10.5194/jsss-6-211-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
J. Sens. Sens. Syst., 6, 211–222, 2017
https://doi.org/10.5194/jsss-6-211-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Regular research article 12 May 2017

Regular research article | 12 May 2017

Measurement and analysis of certain flight parameters based on MEMS sensors

Jerzy Bakunowicz1 and Paweł Rzucidło2 Jerzy Bakunowicz and Paweł Rzucidło
  • 1Department of Aircraft and Aircraft Engines, Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, al. Powstancow Warszawy 12, 35-959 Rzeszow, Poland
  • 2Department of Avionics and Control, Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, al. Powstancow Warszawy 12, 35-959 Rzeszow, Poland

Abstract. Gyroscopes established one of the fundamental references for attitude and heading in aerospace applications. The information about angular velocities gives input not only for autopilot, but also damping devices, such as yaw or pitch dampers for example. The MEMS (micro-electro-mechanical system) gyroscopes are much less reliable than their laser or fibre-optic cousins. Nevertheless, the availability and low price of MEMS components make this a growing area of application in avionics for general aviation aeroplanes. This paper presents certain results of flight data analysis registered during the flight testing campaign of the new experimental low-power single-engine turbo-propeller utility aeroplane I-31T. The research was focused on identification of oscillation modes, distinctive for the new aeroplane, such as engine precession or shimmy. The data came from a three-axis MEMS gyroscope and accelerometer recorder, placed near to the centre of gravity. Wavelet transform, which was used for analysis, gave better precision in time domain than Fourier transform, especially for signals of low frequency.

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In the presented paper, authors introduced examples of continuous wavelet analysis of load spectra recorded with MEMS gyroscopes during the flight testing. The analysis could be applied for aeroplane load analysis during the flight based on data from simple recorder unit. The other potential application of this method would be academic education. The courses of data analysis, handling qualities or flight testing seem to be still uncommon in aerospace engineering studies.
In the presented paper, authors introduced examples of continuous wavelet analysis of load...
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