Xiao, Chunsheng and Zhu, Qingyuan and Hu, Huosheng and Zhang, Xiaoyu and Chen, Xuanwei and Song, Xinyi (2019) Using AKF-PSR to Compensate Random Drift Errors of Low-Cost MEMS Gyroscopes. IEEE Sensors Journal, 19 (16). pp. 6802-6810. DOI https://doi.org/10.1109/jsen.2019.2912400
Xiao, Chunsheng and Zhu, Qingyuan and Hu, Huosheng and Zhang, Xiaoyu and Chen, Xuanwei and Song, Xinyi (2019) Using AKF-PSR to Compensate Random Drift Errors of Low-Cost MEMS Gyroscopes. IEEE Sensors Journal, 19 (16). pp. 6802-6810. DOI https://doi.org/10.1109/jsen.2019.2912400
Xiao, Chunsheng and Zhu, Qingyuan and Hu, Huosheng and Zhang, Xiaoyu and Chen, Xuanwei and Song, Xinyi (2019) Using AKF-PSR to Compensate Random Drift Errors of Low-Cost MEMS Gyroscopes. IEEE Sensors Journal, 19 (16). pp. 6802-6810. DOI https://doi.org/10.1109/jsen.2019.2912400
Abstract
The random drift of a micro-electromechanical system (MEMS) gyroscope seriously affects its measurement accuracy. To model and compensate its random drift, the time series analysis method has widely been deployed, which, however, requires a large amount of data for pre-processing analysis and is unsuitable for real-time applications. This paper proposes a new random drift compensation method based on the adaptive Kalman filter (AKF) and phase space reconstruction (PSR). AKF is first designed to compensate the random drift of the low-cost MEMS gyroscope. The phase variables are then used as phase vectors via PSR. Experiments show that the proposed AKF-PSR method can effectively compensate the random drift of the gyroscope, and the standard deviation is reduced by half.
Item Type: | Article |
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Uncontrolled Keywords: | MEMS gyroscopes; adaptive Kalman filter (AKF); phase space reconstruction (PSR); random drift errors |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 06 Jul 2021 11:34 |
Last Modified: | 30 Oct 2024 17:01 |
URI: | http://repository.essex.ac.uk/id/eprint/27636 |
Available files
Filename: IEEE-SJ-V19-N16-2019-6802-6810.pdf