Research on A Gyro Error Calibration Method Based on Dynamic Compensation-Reference-Cited by-同舟云学术

Research on A Gyro Error Calibration Method Based on Dynamic Compensation

Published:2023-03-30 Issue:2 Volume:5 Page:174-178
ISSN:2771-3032
Container-title:Academic Journal of Science and Technology
language:
Short-container-title:AJST

Author:

Jiang Xiaojuan,Huang Fuchao

Abstract

Gyroscopes in Micro-Electro-Mechanical Systems (MEMS) technology have high accuracy, convenient use, and broad application prospects. In practical applications, it is found that angular rate error is one of the main reasons that affect the output accuracy of gyroscopes. In the angular rate error calibration of MEMS gyroscopes, the method of calibrating the gyroscopes only by changing the bias and scale coefficients obtained by fitting cannot meet the angular rate error calibration of MEMS gyroscopes whose dynamic range exceeds . Therefore, the research proposes an improved calibration method to solve the problem of angular rate error, using dynamic compensation algorithms to achieve dynamic compensation for the angular rate of MEMS gyroscopes. Experiments show that using the dynamic compensation calibration method proposed in this paper, the root mean square error of the angular rate of MEMS gyroscopes has decreased by 52.37% compared to the previous one, verifying the feasibility of this method.

Publisher

Darcy & Roy Press Co. Ltd.

Reference8 articles.

1. Xiyuan Chen, Chunfeng Shi, Di Liu. Multisource Error Analysis and Simulation of High Precision Strapdown Inertial Navigation System for Ballistic Missile in Overload Phase [J] Chinese Journal of Inertial Technology, Vol. 28 (2020) No. 1, p. 27-34.

2. Jianbo Zhao, Jun Peng, Zhexu Tong. A calibration method for dynamic characteristics of gyroscopes under random angular vibration excitation [J] Chinese Journal of Inertial Technology, Vol. 29 (2021) No. 05, p. 696-700.

3. Yong Yang, Policy, Haibin Fang, et al. A Random Error Calibration Algorithm for MEMS Gyroscopes Based on Wavelet Denoising [J] Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition), Vol. 32 (2020) No. 01, p. 99-104.

4. Haiming Chen, Rongbing Li, Shuangjia Wang, et al. High precision calibration method for MEMS gyroscopes [J] Navigation, Location, and Timing, Vol. 9 (2022) No. 05, p. 179-185.

5. Dawei Gong, Yu Liu, Yi Zhong, et al. Research on hybrid error calibration methods for MEMS gyroscopes [J] Piezoelectricity and Acoustics, Vol. 38 (2016) No. 02, p. 298-303.