计算机应用 ›› 2014, Vol. 34 ›› Issue (12): 3641-3645.

• 行业与领域应用 • 上一篇    下一篇

动力调谐陀螺仪系统辨识方法

田凌子1,2,李醒飞1,2,赵建远1,2,王亚辉1,2   

  1. 1. 精密测试技术及仪器国家重点实验室(天津大学),天津 300072
    2. 天津大学 精密仪器与光电子工程学院,天津 300072;
  • 收稿日期:2014-05-28 修回日期:2014-07-25 出版日期:2014-12-01 发布日期:2014-12-31
  • 通讯作者: 田凌子
  • 作者简介:田凌子(1990-),女,天津人,硕士研究生,主要研究方向:惯性元件、嵌入式系统;李醒飞(1966-),男,湖北天门人,教授,博士生导师,主要研究方向:高精度几何量测量、多传感器信息融合、惯性元件与系统;赵建远(1986-),男,山东潍坊人,博士研究生,主要研究方向:机电惯性元件制造与测试;王亚辉(1989-),男,河南开封人,硕士研究生,主要研究方向:惯性元件、嵌入式系统。
  • 基金资助:

    国家自然科学基金资助项目;国家重点实验室开放基金资助项目

Dynamically tuned gyroscope system identification method

TIAN Lingzi1,2,LI Xingfei1,2,ZHAO Jianyuan1,2,WANG Yahui1,2   

  1. 1. College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072,China;
    2. State Key Laboratory of Precision Measuring Technology and Instruments (Tianjin University), Tianjin 300072, China
  • Received:2014-05-28 Revised:2014-07-25 Online:2014-12-01 Published:2014-12-31
  • Contact: TIAN Lingzi

摘要:

针对动力调谐陀螺仪(DTG)系统辨识中,传统辨识方法(最小二乘类辨识法和频域辨识法)辨识拟合度不高的问题,提出去离群点频域辨识法。该方法结合DTG模型结构特征和固有有色噪声特点,将去离群点思想应用于DTG模型的频域辨识。实验结果表明,去离群点频域辨识法的辨识效果优于最小二乘类辨识法和传统频域辨识法,辨识拟合度在90%以上,并且辨识结果重复性好,辨识算法稳定。在DTG系统辨识中,去离群点频域辨识法能够提高辨识拟合度。

Abstract:

In Dynamically Tuned Gyroscope (DTG) system, traditional identification methods, including least square identification method and traditional frequency domain identification method, could not achieve acceptable identification fitness degree. To deal with this problem, outlier-eliminated frequency identification method was proposed. In consideration of the characteristics of DTG model structure and intrinsic colored noise, outlier-eliminated method was applied to DTG frequency domain identification. The experimental results indicate that outlier-eliminated frequency identification method, with a fitness degree above 90%, compared with both least square identification method and traditional frequency domain identification method, has a better performance. In addition, outlier-eliminated frequency identification method possesses of good repeatability and stability. Outlier-eliminated frequency identification method could improve the identification fitness degree of DTG system.

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