A Multivariate Temperature Drift Modeling and Compensation Method for Large-Diameter High-Precision Fiber Optic Gyroscopes

Zhao, Xin; Chen, Gang; Liu, Hao; Wang, Lei

doi:10.1109/tim.2022.3181900

Cited by 3 publications

(2 citation statements)

References 23 publications

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“…Consequently, it becomes a priority to study the metrological performances of sensors in the presence of these external stimuli. Recent literature highlights temperature excursions as a primary influencing factor on the functional and metrological performances of electronic devices of different types, spanning from power modules [24], sensors [25], IoT technologies [26], microcontrollers, and so on.…”

Section: Introductionmentioning

confidence: 99%

Temperature Sensitivity Analysis of Inertial Measurement Unit Under Dynamic Conditions

Patrizi,

Carratù,

Ciani

et al. 2024

IEEE Trans. Instrum. Meas.

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In the modern technological world, there is a notable increase in the demand for precise sensors and sensing platforms in many different application fields. In the context of Industry 4.0, Inertial Measurement Units (IMU) are now playing a central role in positioning estimation and anomaly detection, smart condition monitoring and fault diagnosis tools. Despite this increasing development in recent years, the metrological characterization and sensor performances of inertial platforms still represent a current research gap. Currently, the actual dynamic operating conditions (e.g., temperature, humidity, mechanical stress) endured by the device during its operating life are rarely considered in the literature. However, a thorough sensor characterization needs to consider all external stress sources. Trying to fill this research gap, this study presents the results of a measurement campaign conducted on a triaxial MEMS-based (Micro Electro Mechanical System) IMU performed at different operating temperatures. The dynamic characterization has been carried out emulating the automotive field regarding both movements and operating temperatures. The analysis of the experimental results introduces specific metrics to quantitatively estimate the impact of the temperature dependance on the IMU measuring a repeatable movement.

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Section: Introductionmentioning

confidence: 99%

Temperature Sensitivity Analysis of Inertial Measurement Unit Under Dynamic Conditions

Patrizi,

Carratù,

Ciani

et al. 2024

IEEE Trans. Instrum. Meas.

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show abstract

“…This method relies on the built-in sensors of the inertial navigation system to sense the movement and rotation of the object and to obtain the moving position and trajectory of the three-dimensional space by algorithm [18] integration. However, the high-precision inertial navigation positioning method requires the use of a high-precision fiber optic [19] gyroscope or a high-precision accelerometer [20], which is too large for the human body to wear. Furthermore, the resolution circuit of the high-resolution accelerometer [21] is relatively complex, so it cannot be used for portable applications in body-worn devices.…”

Section: Introductionmentioning

confidence: 99%

Improving Accuracy of Real-Time Positioning and Path Tracking by Using an Error Compensation Algorithm against Walking Modes

Gong

Chen

et al. 2023

Sensors

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Wide-range application scenarios, such as industrial, medical, rescue, etc., are in various demand for human spatial positioning technology. However, the existing MEMS-based sensor positioning methods have many problems, such as large accuracy errors, poor real-time performance and a single scene. We focused on improving the accuracy of IMU-based both feet localization and path tracing, and analyzed three traditional methods. In this paper, a planar spatial human positioning method based on high-resolution pressure insoles and IMU sensors was improved, and a real-time position compensation method for walking modes was proposed. To validate the improved method, we added two high-resolution pressure insoles to our self-developed motion capture system with a wireless sensor network (WSN) system consisting of 12 IMUs. By multi-sensor data fusion, we implemented dynamic recognition and automatic matching of compensation values for five walking modes, with real-time spatial-position calculation of the touchdown foot, enhancing the 3D accuracy of its practical positioning. Finally, we compared the proposed algorithm with three old methods by statistical analysis of multiple sets of experimental data. The experimental results show that this method has higher positioning accuracy in real-time indoor positioning and path-tracking tasks. The methodology can have more extensive and effective applications in the future.

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Dual-Parameter Joint Temperature Error Compensation of IFOGs Scale Factor for Small Satellites

Jin,

Li,

et al. 2024

IEEE Trans. Instrum. Meas.

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A Multivariate Temperature Drift Modeling and Compensation Method for Large-Diameter High-Precision Fiber Optic Gyroscopes

Cited by 3 publications

References 23 publications

Temperature Sensitivity Analysis of Inertial Measurement Unit Under Dynamic Conditions

Temperature Sensitivity Analysis of Inertial Measurement Unit Under Dynamic Conditions

Improving Accuracy of Real-Time Positioning and Path Tracking by Using an Error Compensation Algorithm against Walking Modes

Dual-Parameter Joint Temperature Error Compensation of IFOGs Scale Factor for Small Satellites

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