IJAT Vol.12 No.4 pp. 582-589
doi: 10.20965/ijat.2018.p0582


Angle Detection Using a Continuously Rotating Gyro for Large Scale Profile Evaluation – Reversal Measurement for Eliminating Gyro Drift –

Tatsuya Kume*,†, Masanori Satoh**, Tsuyoshi Suwada**, Kazuro Furukawa**, and Eiki Okuyama***

*Mechanical Engineering Centre, High Energy Accelerator Research Organization (KEK)
1-1 Oho, Tsukuba, Ibaraki 305-0801, Japan

Corresponding author

**Accelerator Laboratory, High Energy Accelerator Research Organization (KEK), Tsukuba, Japan

***Faculty of Engineering and Resource, Akita University, Akita, Japan

September 15, 2017
May 18, 2018
Online released:
July 3, 2018
July 5, 2018
profile evaluation, gyro, rate offset, reversal measurement, earth rotating axis

Profile evaluation by detecting tangential angles of the profile is competent for large objects because it inherently requires no reference, which is difficult to define with sufficient accuracy as the object becomes larger. We considered using a gyro for detecting the angles instead of an inclinometer or an autocollimator, which are conventionally used as angle detectors. A gyro can detect angles without angular reference; therefore, profiles can be evaluated without the limitation of a reference. However, angles detected by a gyro generally have considerable fluctuations to ensure accuracy in the μrad range, which is the same level as a highly precise inclinometer. In this work, we adopted a periodic reversal measurement using a rotating mechanism to eliminate fluctuations. Analysis and experimental results show that the angles of the gyro’s rotating axis against the earth’s rotating axis can be derived from the angular signals of two gyros rotating in counter directions, and that this method is effective for reducing the influences of fluctuations.

Cite this article as:
T. Kume, M. Satoh, T. Suwada, K. Furukawa, and E. Okuyama, “Angle Detection Using a Continuously Rotating Gyro for Large Scale Profile Evaluation – Reversal Measurement for Eliminating Gyro Drift –,” Int. J. Automation Technol., Vol.12, No.4, pp. 582-589, 2018.
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Last updated on Jul. 19, 2018