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Design of Automatic Batch Calibration and Correction System for IMU

Lihua Zhu1, Qifan Yun1, Zhiqiang Wu1,*, Cheire Cheng2

1 School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, 210000, China
2 Department of Electrical and Electronic Engineering, Colorado State University, Colorado, United States

* Corresponding Author: Zhiqiang Wu. Email: email

Computers, Materials & Continua 2022, 71(1), 1489-1501. https://doi.org/10.32604/cmc.2022.022091

Abstract

Thanks to its light weight, low power consumption, and low price, the inertial measurement units (IMUs) have been widely used in civil and military applications such as autopilot, robotics, and tactical weapons. The calibration is an essential procedure before the IMU is put in use, which is generally used to estimate the error parameters such as the bias, installation error, scale factor of the IMU. Currently, the manual one-by-one calibration is still the mostly used manner, which is low in efficiency, time-consuming, and easy to introduce mis-operation. Aiming at this issue, this paper designs an automatic batch calibration method for a set of IMUs. The designed automatic calibration master controller can control the turntable and the data acquisition system at the same time. Each data acquisition front-end can complete data acquisition of eight IMUs one time. And various scenarios of experimental tests have been carried out to validate the proposed design, such as the multi-position tests, the rate tests and swaying tests. The results illustrate the reliability of each function module and the feasibility automatic batch calibration. Compared with the traditional calibration method, the proposed design can reduce errors caused by the manual calibration and greatly improve the efficiency of IMU calibration.

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Cite This Article

L. Zhu, Q. Yun, Z. Wu and C. Cheng, "Design of automatic batch calibration and correction system for imu," Computers, Materials & Continua, vol. 71, no.1, pp. 1489–1501, 2022. https://doi.org/10.32604/cmc.2022.022091



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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