A Temperature Drift Suppression Method of Mode-Matched MEMS Gyroscope Based on a Combination of Mode Reversal and Multiple Regression

In recent years, the application prospects of high-precision MEMS gyroscopes have been shown to be very broad, but the large temperature drift of MEMS gyroscopes limits their application in complex temperature environments. In response to this, we propose a method that combines mode reversal and rea...

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Main Authors: Liangqian Chen, Tongqiao Miao, Qingsong Li, Peng Wang, Xuezhong Wu, Xiang Xi, Dingbang Xiao
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Micromachines
Subjects:
Online Access:https://www.mdpi.com/2072-666X/13/10/1557
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author Liangqian Chen
Tongqiao Miao
Qingsong Li
Peng Wang
Xuezhong Wu
Xiang Xi
Dingbang Xiao
author_facet Liangqian Chen
Tongqiao Miao
Qingsong Li
Peng Wang
Xuezhong Wu
Xiang Xi
Dingbang Xiao
author_sort Liangqian Chen
collection DOAJ
description In recent years, the application prospects of high-precision MEMS gyroscopes have been shown to be very broad, but the large temperature drift of MEMS gyroscopes limits their application in complex temperature environments. In response to this, we propose a method that combines mode reversal and real-time multiple regression compensation to compensate for the temperature drift of gyroscope bias. This method has strong adaptability to the environment, low computational cost, the algorithm is online in real time, and the compensation effect is good. The experimental results show that under the temperature cycle of −20~20 °C and the temperature change rate of 4 °C/min, the method proposed in this paper can reduce the zero-bias stability from about 27.8°/h to 0.4527°/h, and the zero-bias variation is reduced from 65.88°/h to 1.43°/h. This method improves the zero-bias stability of the gyroscope 61-fold and the zero-bias variation 46-fold. Further, the method can effectively suppress the zero-bias drift caused by the heating of the gyroscope during the start-up phase of the gyroscope. The zero-bias stability of the gyroscope can reach 0.0697°/h within 45 min of starting up, and the zero-bias repeatability from 0 to 5 min after startup is reduced from 0.629°/h to 0.095°/h.
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spelling doaj.art-38c7827f65374f72a3c2fd6c429e444f2023-11-24T01:20:34ZengMDPI AGMicromachines2072-666X2022-09-011310155710.3390/mi13101557A Temperature Drift Suppression Method of Mode-Matched MEMS Gyroscope Based on a Combination of Mode Reversal and Multiple RegressionLiangqian Chen0Tongqiao Miao1Qingsong Li2Peng Wang3Xuezhong Wu4Xiang Xi5Dingbang Xiao6College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, ChinaCollege of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, ChinaIn recent years, the application prospects of high-precision MEMS gyroscopes have been shown to be very broad, but the large temperature drift of MEMS gyroscopes limits their application in complex temperature environments. In response to this, we propose a method that combines mode reversal and real-time multiple regression compensation to compensate for the temperature drift of gyroscope bias. This method has strong adaptability to the environment, low computational cost, the algorithm is online in real time, and the compensation effect is good. The experimental results show that under the temperature cycle of −20~20 °C and the temperature change rate of 4 °C/min, the method proposed in this paper can reduce the zero-bias stability from about 27.8°/h to 0.4527°/h, and the zero-bias variation is reduced from 65.88°/h to 1.43°/h. This method improves the zero-bias stability of the gyroscope 61-fold and the zero-bias variation 46-fold. Further, the method can effectively suppress the zero-bias drift caused by the heating of the gyroscope during the start-up phase of the gyroscope. The zero-bias stability of the gyroscope can reach 0.0697°/h within 45 min of starting up, and the zero-bias repeatability from 0 to 5 min after startup is reduced from 0.629°/h to 0.095°/h.https://www.mdpi.com/2072-666X/13/10/1557MEMS gyroscopemode reversaltemperature drift suppression
spellingShingle Liangqian Chen
Tongqiao Miao
Qingsong Li
Peng Wang
Xuezhong Wu
Xiang Xi
Dingbang Xiao
A Temperature Drift Suppression Method of Mode-Matched MEMS Gyroscope Based on a Combination of Mode Reversal and Multiple Regression
Micromachines
MEMS gyroscope
mode reversal
temperature drift suppression
title A Temperature Drift Suppression Method of Mode-Matched MEMS Gyroscope Based on a Combination of Mode Reversal and Multiple Regression
title_full A Temperature Drift Suppression Method of Mode-Matched MEMS Gyroscope Based on a Combination of Mode Reversal and Multiple Regression
title_fullStr A Temperature Drift Suppression Method of Mode-Matched MEMS Gyroscope Based on a Combination of Mode Reversal and Multiple Regression
title_full_unstemmed A Temperature Drift Suppression Method of Mode-Matched MEMS Gyroscope Based on a Combination of Mode Reversal and Multiple Regression
title_short A Temperature Drift Suppression Method of Mode-Matched MEMS Gyroscope Based on a Combination of Mode Reversal and Multiple Regression
title_sort temperature drift suppression method of mode matched mems gyroscope based on a combination of mode reversal and multiple regression
topic MEMS gyroscope
mode reversal
temperature drift suppression
url https://www.mdpi.com/2072-666X/13/10/1557
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