The temperature error modeling and compensation method of fiber optic gyroscope scaling factor

2021 ◽  
Author(s):  
Fei Wang ◽  
Lei Wang ◽  
Shuai Zhao ◽  
Tengchao Huang ◽  
Xiaowu Shu
Keyword(s):  
Fiber Optic ◽  
Scaling Factor ◽  
Error Modeling ◽  
Compensation Method ◽  
Temperature Error ◽  
Fiber Optic Gyroscope

Temperature Error Modeling and Real-time Compensation of Fiber Optic Gyroscope Based on PSO-SVR

2019 ◽  
Vol 48 (12) ◽  
pp. 1206002-1206002
Author(s):  
Chun-fu HUANG Chun-fu HUANG ◽  
An LI An LI ◽  
Fang-jun QIN Fang-jun QIN ◽  
Zhi WANG Zhi WANG
Keyword(s):  
Real Time ◽  
Fiber Optic ◽  
Error Modeling ◽  
Temperature Error ◽  
Fiber Optic Gyroscope

Low-coherence laser-driven fiber optic gyroscope with enhanced scaling factor stability

2021 ◽  
Author(s):  
Hu Liang ◽  
Maochun Li ◽  
Jun Ma ◽  
Bohan Liu ◽  
Yueze Wang ◽  
...  
Keyword(s):  
Fiber Optic ◽  
Scaling Factor ◽  
Fiber Optic Gyroscope ◽  
Low Coherence

scholarly journals A Nonlinear Multiparameters Temperature Error Modeling and Compensation of POS Applied in Airborne Remote Sensing System

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Jianli Li ◽  
Wenjian Wang ◽  
Feng Jiao ◽  
Jiancheng Fang ◽  
Tao Yu
Keyword(s):  
Neural Network ◽  
Remote Sensing ◽  
Error Modeling ◽  
Compensation Method ◽  
Temperature Error ◽  
Bayesian Regularization ◽  
Airborne Remote Sensing ◽  
Accuracy Requirement ◽  
Sensing System ◽  
Single Temperature

The position and orientation system (POS) is a key equipment for airborne remote sensing systems, which provides high-precision position, velocity, and attitude information for various imaging payloads. Temperature error is the main source that affects the precision of POS. Traditional temperature error model is single temperature parameter linear function, which is not sufficient for the higher accuracy requirement of POS. The traditional compensation method based on neural network faces great problem in the repeatability error under different temperature conditions. In order to improve the precision and generalization ability of the temperature error compensation for POS, a nonlinear multiparameters temperature error modeling and compensation method based on Bayesian regularization neural network was proposed. The temperature error of POS was analyzed and a nonlinear multiparameters model was established. Bayesian regularization method was used as the evaluation criterion, which further optimized the coefficients of the temperature error. The experimental results show that the proposed method can improve temperature environmental adaptability and precision. The developed POS had been successfully applied in airborne TSMFTIS remote sensing system for the first time, which improved the accuracy of the reconstructed spectrum by 47.99%.

A Novel Compensation Method for FOG Temperature Drift Based on TUKF

2014 ◽  
Vol 568-570 ◽  
pp. 405-410
Author(s):  
Yang Li ◽  
Bai Qing Hu ◽  
Feng Zha ◽  
Kai Long Li
Keyword(s):  
Fiber Optic ◽  
Unscented Kalman Filter ◽  
Network Models ◽  
Compensation Method ◽  
Mean Square ◽  
Numerical Instability ◽  
Fiber Optic Gyroscope ◽  
Elman Network ◽  
Temperature Drift ◽  
Mean Square Errors

Aiming at the problem of modeling and compensation of the fiber optic gyroscope (FOG) drift caused by temperature, a novel compensation method for FOG temperature drift based on transformed unscented Kalman filter (TUKF) is proposed. Elman network with faster convergence speed is used to modeling and TUKF algorithm is adopted to train the weights of Elman network, which effectively solves the problem of numerical instability. The results prove that the proposed method has higher precision compared with Elman network and IUKF network models. By using the TUKF algorithm, the root mean square errors (RMSE) are improved by 60%  in temperature rise period and 50.5% in fall period.

A software-compensation method to orthogonal magnetic field drift in a depolarized fiber-optic gyroscope

Optik ◽  
2014 ◽  
Vol 125 (11) ◽  
pp. 2565-2567 ◽  
Author(s):  
Dengwei Zhang ◽  
Yuxiang Zhao ◽  
Wenqing Zhou ◽  
Wenlan Fu ◽  
Cheng Liu ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Fiber Optic ◽  
Compensation Method ◽  
Fiber Optic Gyroscope ◽  
Software Compensation ◽  
Field Drift
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