Air density compensation of tuning fork sensor using kalman filter

Kohei Okamoto, Naoyuki Aikawa

Research output: Contribution to journalArticle

Abstract

Vibration sensor is used as a sensor to measure such as prebure, force, acceleration and density. In particular, tuning fork sensor is suitable as a sensor for electronic balance due to high sensitivity to the force and its long term stability. However, tuning fork sensor is affected by the temperature and the air density. Therefore, it is necebary to compensate the effects of them. In the conventional method, we could not compensate adequately for the abrupt change in the air density due to the delay of smoothing filter. In this paper, we propose accurate compensation method of the drift which is caused by changing the air density of tuning fork sensor. Applying Kalman filter, the drift of the tuning fork sensor can be very small even when abrupt change in the air density and there is noise the measured the atmospheric prebure and the frequency.

Original languageEnglish
Pages (from-to)542-547
Number of pages6
JournalIEEJ Transactions on Electronics, Information and Systems
Volume136
Issue number4
DOIs
Publication statusPublished - 1 Jan 2016

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Keywords

  • Air density compensation
  • Atmospheric prebure compensation
  • Kalman filter
  • Temperature compensation
  • Tuning fork sensor

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