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A System-level Calibration Method Considering the g-sensitivity for MIMU
Received date: 2024-07-23
Online published: 2024-12-18
A MIMU system level calibration Kalman filter state space model is established to address the g-sensitivity of gyroscope drift and the inability to perform autonomous azimuth alignment due to large drift errors in micro electromechanical system inertial measurement unit (MIMU). Considering the influence of g-sensitivity error states, a rate of change of azimuth misalignment angle is added into its measurement equation to enhance the observability of g-sensitivity state estimation. It directly takes a rough initial azimuth angle as external input to perform navigation calculation, so as to reduce the influence of earth's rotational angular velocity and improve the accuracy of gyroscope drift estimation. Meanwhile, a complete system level calibration and transposition arrangement scheme is designed, in which gyroscope calibration and accelerometer calibration are interdependent and work together to complete MIMU system level calibration. It can effectively separate all 30 calibration parameters. To verify the results, a physical calibration experiment is conducted on a certain model of missile borne MIMU, its navigation calculations are performed using pre-and post calibration data. Comparing the navigation solution results, it shows that the navigation speed in all three directions decrease after calibration, and the calibration factor and zero bias calibration accuracy of the accelerometer are higher. Especially under a condition of the MIMU is rotated with multi axis and large angle, the navigation speed accuracy is better than 30 m/s within about 10 min, this verify that the accuracy of system level calibration is high.
YAN Gongmin , PU Xingchao , ZHANG Yachong , WEN Zejing . A System-level Calibration Method Considering the g-sensitivity for MIMU[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2024 , 44(5) : 90 -95 . DOI: 10.15892/j.cnki.djzdxb.2024.05.011
| [1] |
严恭敏, 翁浚. 捷联惯导算法与组合导航原理:第2版[M]. 西安: 西北工业大学出版社, 2023.
|
| [2] |
王磊, 胡学东, 关英, 等. 低成本微惯性组件的复合标定与智能滤波方法[J]. 弹箭与制导学报, 2018, 38(2):79-83.
|
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
周章华, 邱宏波, 李延, 等. 用低精度双轴转台对捷联惯导进行系统级标定的方法[J]. 中国惯性技术学报, 2010, 18(4):503-507.
|
| [9] |
吴赛成, 秦石乔, 王省书, 等. 激光陀螺惯性测量单元系统级标定方法[J]. 中国惯性技术学报, 2011, 19(2):185-189.
|
| [10] |
杨小康, 严恭敏, 李四海. 一种锚泊条件下捷联惯导系统级标定方法[J]. 中国惯性技术学报, 2020, 28(1):1-7.
|
| [11] |
谭茂林. 捷联惯导误差建模与系统级标定方法研究[D]. 辽宁: 辽宁工程技术大学, 2023.
|
| [12] |
王如胜. MEMS陀螺捷联惯导系统标定方法研究[D]. 哈尔滨: 哈尔滨工业大学, 2016.
|
| [13] |
范晨. GNSS/MIMU组合导航中微陀螺g敏感性误差分析与补偿方法研究[D]. 长沙: 国防科学技术大学, 2016.
|
| [14] |
范晨, 胡小平, 何晓峰, 等. 微陀螺g敏感性误差对组合导航精度的影响分析[J]. 导航与控制, 2013, 12(4):1-5.
|
| [15] |
陈海明, 李荣冰, 王双甲, 等. MEMS陀螺仪的高精度标定方法[J]. 导航定位与授时, 2022, 9(5):179-185.
|
| [16] |
江奇渊, 汤建勋, 韩松来, 等. 36维Kalman滤波的激光陀螺捷联惯导系统级标定方法[J]. 红外与激光工程, 2015(5):1579-1586.
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
刘轶凡, 肖文栋, 吴健康, 等. 基于牛顿迭代和椭球拟合的磁力和惯性传感器校准方法[J]. 仪器仪表学报, 2020, 41(8):142-149.
|
| [21] |
|
/
| 〈 |
|
〉 |