Compensation of Temperature-Induced Bias Drift in Hemispherical Resonator Gyroscopes: An Inherent Data-Driven Architecture
To address the bias drift problem and hysteresis phenomenon of hemispherical resonator gyroscope (HRG) under temperature change, a temperature drift compensation method based on internal parameters is proposed. The influence model of zero-rate output bias is established with the parameters such as r...
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MDPI AG
2025-03-01
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| Online Access: | https://www.mdpi.com/2072-666X/16/4/357 |
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| author | Xiaocong Zhou Jiaqiang Wen Shasha Han Chong Li |
| author_facet | Xiaocong Zhou Jiaqiang Wen Shasha Han Chong Li |
| author_sort | Xiaocong Zhou |
| collection | DOAJ |
| description | To address the bias drift problem and hysteresis phenomenon of hemispherical resonator gyroscope (HRG) under temperature change, a temperature drift compensation method based on internal parameters is proposed. The influence model of zero-rate output bias is established with the parameters such as resonance frequency, driving signal amplitude and quadrature suppression voltage amplitude during HRG operation. The temperature cycle experiment is carried out in the range of −20 to 60 °C, and the relationship between internal parameters and working temperature is revealed. Using KAN neural network combined with time series data as input features, a real-time compensation model is designed to effectively improve the prediction accuracy of hysteresis phenomenon. The experimental results show that the model significantly reduces the output stability performance of HRG, from 0.022°/h to 0.013°/h, and the stability decreases from 1.1392°/h to 0.0651°/h, which improves the stability and reliability of HRG. |
| format | Article |
| id | doaj-art-d3bf7f242646461fa9a134c4dc7e264d |
| institution | DOAJ |
| issn | 2072-666X |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Micromachines |
| spelling | doaj-art-d3bf7f242646461fa9a134c4dc7e264d2025-08-20T03:13:55ZengMDPI AGMicromachines2072-666X2025-03-0116435710.3390/mi16040357Compensation of Temperature-Induced Bias Drift in Hemispherical Resonator Gyroscopes: An Inherent Data-Driven ArchitectureXiaocong Zhou0Jiaqiang Wen1Shasha Han2Chong Li3School of Engineering, Ocean University of China, Qingdao 266404, ChinaSchool of Engineering, Ocean University of China, Qingdao 266404, ChinaSchool of Engineering, Ocean University of China, Qingdao 266404, ChinaSchool of Engineering, Ocean University of China, Qingdao 266404, ChinaTo address the bias drift problem and hysteresis phenomenon of hemispherical resonator gyroscope (HRG) under temperature change, a temperature drift compensation method based on internal parameters is proposed. The influence model of zero-rate output bias is established with the parameters such as resonance frequency, driving signal amplitude and quadrature suppression voltage amplitude during HRG operation. The temperature cycle experiment is carried out in the range of −20 to 60 °C, and the relationship between internal parameters and working temperature is revealed. Using KAN neural network combined with time series data as input features, a real-time compensation model is designed to effectively improve the prediction accuracy of hysteresis phenomenon. The experimental results show that the model significantly reduces the output stability performance of HRG, from 0.022°/h to 0.013°/h, and the stability decreases from 1.1392°/h to 0.0651°/h, which improves the stability and reliability of HRG.https://www.mdpi.com/2072-666X/16/4/357hemispherical resonator gyroscopezero-rate output biashysteresis phenomenonKAN neural networkreal-time compensation model |
| spellingShingle | Xiaocong Zhou Jiaqiang Wen Shasha Han Chong Li Compensation of Temperature-Induced Bias Drift in Hemispherical Resonator Gyroscopes: An Inherent Data-Driven Architecture Micromachines hemispherical resonator gyroscope zero-rate output bias hysteresis phenomenon KAN neural network real-time compensation model |
| title | Compensation of Temperature-Induced Bias Drift in Hemispherical Resonator Gyroscopes: An Inherent Data-Driven Architecture |
| title_full | Compensation of Temperature-Induced Bias Drift in Hemispherical Resonator Gyroscopes: An Inherent Data-Driven Architecture |
| title_fullStr | Compensation of Temperature-Induced Bias Drift in Hemispherical Resonator Gyroscopes: An Inherent Data-Driven Architecture |
| title_full_unstemmed | Compensation of Temperature-Induced Bias Drift in Hemispherical Resonator Gyroscopes: An Inherent Data-Driven Architecture |
| title_short | Compensation of Temperature-Induced Bias Drift in Hemispherical Resonator Gyroscopes: An Inherent Data-Driven Architecture |
| title_sort | compensation of temperature induced bias drift in hemispherical resonator gyroscopes an inherent data driven architecture |
| topic | hemispherical resonator gyroscope zero-rate output bias hysteresis phenomenon KAN neural network real-time compensation model |
| url | https://www.mdpi.com/2072-666X/16/4/357 |
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