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A Method for Vibration-cylinder Air-pressure Sensor Temperature Compensation Based on Radial Basis Function(RBF) Neural Network Ren Yan1,2,a, Xu Duan2,b and Qin Fangling2,c 1School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, China 2Beijing Aeronautical Technology Research Center, Beijing, China arenyanry@139.com, bxuduan88@gmail.com, clynn02@126.com Keywords: Radial Basis Function(RBF), Neural Network, Vibration-cylinder Air-pressure Sensor, Temperature Compensation Abstract.
The vibration cylinder is made ​​of 0.08mm metal thin-walled material, the outer chamber is drawn into vacuum state, the inner chamber is connecting the air pressure; The vibration coil is used to make the vibration cylinder vibrate in a certain frequency, the picking coil is used to feel the vibration frequency of the cylinder and to change the frequency into pulse signal.
The natural frequency of the vibration-cylinder and the input air-pressure have the relationship as (1), where is the input pressure value; is the natural frequency of the vibration cylinder when the input pressure value is zero; is the natural frequency of the vibration cylinder when the input pressure value is ; is a coefficient related with the vibration cylinder material and physical parameters.
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Acknowledgements This work was financially supported by the Shaanxi Province Natural Science Foundation (2012JM7006).
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DOI: 10.20448/journal.508.2017.41.1.6
Materials,13 (19) (2020). https://doi.org/10.3390/MA13194251
Series: Materials Science and Engineering, 652 (2019) 012044.

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