|本期目录/Table of Contents|

动力调谐陀螺仪全系统辨识(PDF)

《纳米技术与精密工程》[ISSN:1672-6030/CN:12-1351/O3]

期数:
2017年4期
页码:
305-310
栏目:
精密测量
出版日期:
2017-07-15

文章信息/Info

Title:
Identification of the Whole Dynamically Tuned Gyroscope System
作者:
焦君妍1 李醒飞1 赵建远2
1. 天津大学精密仪器与光电子工程学院, 天津300072; 2. 中航工业航空动力控制研究所, 无锡214063
Author(s):
Jiao Junyan1 Li Xingfei1 Zhao Jianyuan2
1. School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China; 2. AVIC Aviation Motor Control System Institute, Wuxi 214063, China
关键词:
正交 系统辨识 有色噪声 实时监测 动力调谐陀螺仪
Keywords:
orthogonal system identification colored noise real-time monitoring dynamically tuned gyroscope
分类号:
TK273; U666.12*3
DOI:
10.13494/j.npe.20160037
文献标识码:
A
摘要:
本文研究了动力调谐陀螺仪全系统辨识方法,针对系统辨识过程中模型复杂度高和传统辨识方法的有色噪声敏感性问题,对全系统模型进行简化分析和降阶处理,获取辨识模型集,并提出正交Levy辨识算法,通过数据矩阵的正交化处理,抑制有色噪声干扰,提高辨识精度.最后,结合某型号动力调谐陀螺仪进行全系统辨识实验.实验结果表明,正交Levy法的辨识拟合度超过90%,双轴连续实验也表明正交Levy法辨识结果稳定可靠,能够应用于动力调谐陀螺仪全系统实时监测.
Abstract:
An identification method for the whole dynamically tuned gyroscope (DTG) system is proposed in this paper. Regarding the problem of high model complexity and colored noise sensitivity of traditional method in the identification process, the whole DTG system is firstly simplified to obtain the identification model set and an orthogonal Levy method is proposed, effectively restraining colored noise and improving identification accuracy by the orthogonalization of data matrix. Then the whole system identification experiments are conducted on a certain type of DTG. Results show that the identification fitting precision of the orthogonal Levy method is more than 90%, and biaxial continuous DTG online identification experiments demonstrate that the identification results of the orthogonal Levy method are reliable, and thus this method can be applied in the real-time monitoring of the whole system of DTG.

参考文献/References

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备注/Memo

备注/Memo:
收稿日期: 2016-06-17. 基金项目: 国家自然科学基金资助项目(60972129);国家重点实验室开放基金资助项目(pil1006). 作者简介: 焦君妍(1993—),女,硕士研究生. 通讯作者: 李醒飞,教授,lixingfeitju@163.com.
更新日期/Last Update: 2017-12-20