A MEMS gyroscope high-order calibration method for highly dynamic environments

2020 ◽  
Vol 32 (3) ◽  
pp. 035115
Author(s):  
Jinwen Wang ◽  
Zhihong Deng ◽  
Xinyu Liang ◽  
Ning Liu
Micromachines ◽  
2018 ◽  
Vol 9 (7) ◽  
pp. 328 ◽  
Author(s):  
Minruihong Wang ◽  
Huiliang Cao ◽  
Chong Shen ◽  
Jin Chai

2021 ◽  
Author(s):  
Yifan Sun ◽  
Feng Li ◽  
Yanghao Chen ◽  
Xiang Xu

Author(s):  
Hui Zhao ◽  
Zhong Su ◽  
Fuchao Liu ◽  
Chao Li ◽  
Qing Li

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2341
Author(s):  
Zang Chen ◽  
Jizhou Lai ◽  
Jianye Liu ◽  
Rongbing Li ◽  
Guotian Ji

The GNSS/INS (Global Navigation Satellite System/Inertial Navigation System) navigation system has been widely discussed in recent years. Because of the unique INS-aided loop structure, the deeply coupled system performs very well in highly dynamic environments. In practice, vehicle maneuvering has a big influence on the performance of IMUs (Inertial Measurement Unit), and determining whether the selected IMUs and receiver parameters satisfy the loop dynamic requirement is still a critical problem for deeply coupled systems. Aiming at this, a new parameter self-calibration method based on the norm principle is proposed which explains the relationship between IMU precision and the velocity error of the system; the method will also provide a detailed solution to calculate the loop steady-state tracking error, so it will eventually make a judgment about the stability of the tracking loop under present system parameter settings. Lastly, a full digital simulation platform is set up, and the results of simulations show good agreement with the proposed method.


2020 ◽  
Vol 69 (5) ◽  
pp. 2277-2286 ◽  
Author(s):  
Shun-Qing Ren ◽  
Qing-Bo Liu ◽  
Ming Zeng ◽  
Chang-Hong Wang

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