Design of IMU Dynamic Coefficient Calibration Based on Reduced Space Search Algorithm

doi:10.16182/j.issn1004731x.joss.19-FZ0338

Abstract

Abstract: In order to improve the dynamic error coefficient speed of the calibration strapdown inertial group, a dynamic error model is established in the inertial navigation system. The Kalman filter is used to reflect the observation degree of the error term to determine the objective function of the optimal algorithm. The penalty function for the reduced space search algorithm is improved by genetic algorithm. At the end, it not only gets rid of the interference of the local pseudo-optimal solution, but also improves the recognition speed when it is close to the optimal solution. Compared with the solution length of the conjugate gradient method, the efficiency of the improved reduced space search algorithm for dynamic coefficient identification is verified, and the problem that the dynamic error of the strapdown inertial group cannot be quickly compensated is effectively solved.

Key words: stapdown inertial navigation systems, conjugate gradient algorithm, subtractive space search algorithm, dynamic error calibration

CLC Number:

TP391.9

Yan Hongyan, Zhang Yu, Zhu Weihua, Shi Ming, Zhang Yexin. Design of IMU Dynamic Coefficient Calibration Based on Reduced Space Search Algorithm[J]. Journal of System Simulation, 2019, 31(11): 2485-2491.

References

[1] 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): 85-89.
Wang Lei, Hu Xuedong, Guan Ying, et al.Composite calibration and intelligent filtering method for low-cost micro-inertial components[J]. Journal of Projectiles, Archery and Guidance, 2018, 38(2): 85-89.
[2] 于治远. 高动态环境下微惯性组件的复合标定与对准方法研究[D]. 沈阳: 沈阳理工大学, 2018.
Yu Zhiyuan.Research on composite calibration and alignment method of micro-inertial components in high dynamic environment [D]. Shenyang: Shenyang Ligong University, 2018.
[3] 田源, 宋蔚阳, 方海红, 等. 全捷联导引头的惯性视线角速度解耦方法及精度分析[J]. 测试技术学报, 2019, 33(1): 15-19.
Tian Yuan, Song Weiyang, Fang Haihong, et al.Inertial line-of-sight angular velocity decoupling method and accuracy analysis of full strapdown seeker[J]. Journal of Test and Measurement Technology, 2019, 33(1): 15-19.
[4] 张怀, 许林英. 空间有限条件下博弈搜索算法的优化[J]. 电子测量技术, 2007, 30(8): 26-29.
Zhang Huai, Xu Linying.Optimization of Game Search Algorithm under Space Finite Condition[J]. Electronic Measurement Technology, 2007, 30(8): 26-29.
[5] 杨斌, 聂在平, 夏耀先, 等. 基于改进共轭梯度法的前馈网络快速监督学习算法[J]. 电子学报, 2002, 30(12): 1845-1847.
Yang Bin, Nie Zaiping, Xia Yaoxian, et al.Fast Supervised Learning Algorithm for Feedforward Networks Based on Improved Conjugate Gradient Method[J]. Chinese Journal of Electronics, 2002, 30(12): 1845-1847.
[6] 张世铮. 基于位移Hermite分裂的图像恢复算法[J]. 吉林大学学报(理学版), 2019, 57(1): 103-110.
Zhang Shizhen.Image Restoration Algorithm Based on Displacement Hermite Splitting[J]. Journal of Jilin University(Science Edition), 2019, 57(1): 103-110.
[7] 刘勇, 陈本军, 程跃兵, 等. 基于IMU模块的行人航向角误差修正算法[J]. 电子设计工程, 2019, 27(2): 86-90.
Liu Yong, Chen Benjun, Cheng Yuebing, et al.Pedestrian heading angle error correction algorithm based on IMU module[J]. Electronic Design Engineering, 2019, 27(2): 86-90.
[8] 谢瑞煜, 赵建军, 蒋涛. 基于蒙特卡洛法的武器系统标定误差分析[J]. 兵器装备工程学报, 2019, 40(1): 136-140.
Xie Ruiyu, Zhao Jianjun, Jiang Tao.Calibration error analysis of weapon system based on Monte Carlo method[J]. Journal of Ordnance Equipment Engineering, 2019, 40(1): 136-140.

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