Abstract
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.
Highlights
Development in the field of aeronautical engineering is always connected with research activities of high risk
The main goal of this contribution is to present issues concerning acceleration spectrum flight analysis with continuous wavelet transform using data obtained from devices based on MEMS gyroscopes
Shimmy vibrations appeared during the roll-off recorded in landing no. 2a (Fig. 6). This kind of oscillatory movement is hard to identify in acceleration and angular velocity time plots; they manifest as high-frequency occurrence from the 2nd to 7th second in continuous wavelet transform (CWT) chart of ny
Summary
Development in the field of aeronautical engineering is always connected with research activities of high risk. Increasing the sampling frequency of the measurement device gives the ability to register low-cycle flight loads, and faster spectra such as vibrations originated by propulsion or turbulence, as well as aero-elastic response of the structure (Wright and Cooper, 2015). Proper comparison of this data with the results of ground vibration tests (GVTs) provides a basis for identification of resonance. The paper presents an example of MEMS sensor application in light aeroplane flight testing. The main goal of this contribution is to present issues concerning acceleration spectrum flight analysis with continuous wavelet transform using data obtained from devices based on MEMS gyroscopes
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