LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Theory and error compensation method based on the tilt sensor adopted in dynamic angle measurement of the fiber optic gyroscope

Photo from wikipedia

Abstract The fiber optic gyroscope (FOG) has been widely used in the field of dynamic angle measurement due to its characteristics of wide dynamic range and high precision. Considering the… Click to show full abstract

Abstract The fiber optic gyroscope (FOG) has been widely used in the field of dynamic angle measurement due to its characteristics of wide dynamic range and high precision. Considering the change of the installation state of the FOG and the inconvenience of the calibration of the scale factor in engineering, an error compensation of the angle measurement using FOG, which is based on the tilt sensor, is proposed in this paper. Firstly, the principle of the angle measurement based on the FOG and the principle of the tilt sensor are introduced and the error compensation model based on tilt sensor is established. Secondly, simulation analysis and error analysis are performed and the compensation scheme is designed. Finally, according to the compensation scheme, the instrument prototype is built and the experiments are carried out. The experimental results show that although the error is not completely eliminated after adopting compensation scheme, the angle measurement deviation of the FOG can be greatly reduced and limited within 5″ when the tilt state changes within a small range (the output of the tilt sensor is less than 0.3°). It indicates that the compensation scheme is effective and feasible. More importantly, it is easier to realize in engineering in contrast with other compensation methods.

Keywords: error; compensation; tilt sensor; angle measurement

Journal Title: Optical Fiber Technology
Year Published: 2020

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.