カルマンフィルタを用いた音叉センサの空気密度補正

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2016/04/01

タイトル(英語): Air Density Compensation of Tuning Fork Sensor using Kalman Filter

著者名: 岡本　光平（新光電子（株）／東京理科大学），相川　直幸（東京理科大学）

著者名(英語): Kohei Okamoto (Shinko Denshi Co., Ltd./Tokyo University of Science), Naoyuki Aikawa (Tokyo University of Science)

キーワード: カルマンフィルタ，空気密度補正，温度補正，気圧補正，音叉センサ　　Kalman filter，Air density compensation，Temperature compensation，Atmospheric pressure compensation，Tuning fork sensor

要約(英語): Vibration sensor is used as a sensor to measure such as pressure, 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 necessary 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 pressure and the frequency.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.136 No.4 （2016） 特集：最新の化合物半導体デバイスとその応用技術

本誌掲載ページ: 542-547 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/136/4/136_542/_article/-char/ja/