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 ◽  
...  
2015 ◽  
Vol 42 (8) ◽  
pp. 0805005
Author(s):  
王夏霄 Wang Xiaxiao ◽  
冯志芳 Feng Zhifang ◽  
秦祎 Qin Yi ◽  
于佳 Yu Jia ◽  
吕江涛 Lü Jiangtao

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 222242-222247
Author(s):  
Ningfang Song ◽  
Fu Ma ◽  
Xiaxiao Wang ◽  
Wanqing Chen ◽  
Jia Yu ◽  
...  

2012 ◽  
Vol 41 (4) ◽  
pp. 231-234 ◽  
Author(s):  
Pradeep Kumar ◽  
Gagandeep Purohit ◽  
Jagannath Nayak ◽  
T. Srinivas

2014 ◽  
Vol 51 (12) ◽  
pp. 120601
Author(s):  
王夏霄 Wang Xiaxiao ◽  
秦祎 Qin Yi ◽  
于佳 Yu Jia ◽  
王野 Wang Ye ◽  
吕江涛 Lü Jiangtao ◽  
...  

2014 ◽  
Vol 568-570 ◽  
pp. 405-410
Author(s):  
Yang Li ◽  
Bai Qing Hu ◽  
Feng Zha ◽  
Kai Long Li

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.


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