Frequency characteristic test and model identification for O-E tracking servo system

WANG Shuai; CHEN Tao; LI Hong-wen; WANG Jian-li

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Frequency characteristic test and model identification for O-E tracking servo system

Article | 更新时间：2020-08-12

- Frequency characteristic test and model identification for O-E tracking servo system
- Optics and Precision Engineering Vol. 17, Issue 1, Pages: 78-84(2009)
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所, 吉林长春 130033
  2. 中国科学院研究生院,北京 100039
- 作者简介：
- 基金信息：
- DOI：
  CLC： V556
- Received：18 August 2008，
  
  Revised：21 October 2008，
  
  Published Online：25 January 2009，
  
  Published：25 January 2009
- 稿件说明：
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王帅, 陈涛, 李洪文, 王建立. 光电跟踪伺服系统的频率特性测试与模型辨识[J]. 光学精密工程, 2009,17(1): 78-84

WANG Shuai, CHEN Tao, LI Hong-wen, WANG Jian-li. Frequency characteristic test and model identification for O-E tracking servo system[J]. Editorial Office of Optics and Precision Engineering, 2009,17(1): 78-84
王帅, 陈涛, 李洪文, 王建立. 光电跟踪伺服系统的频率特性测试与模型辨识[J]. 光学精密工程, 2009,17(1): 78-84 DOI：

WANG Shuai, CHEN Tao, LI Hong-wen, WANG Jian-li. Frequency characteristic test and model identification for O-E tracking servo system[J]. Editorial Office of Optics and Precision Engineering, 2009,17(1): 78-84 DOI：

摘要

基于光电跟踪伺服系统全数字化的特点

提出了一种新型频率特性测试方法

并对该方法所使用的激励信号、数据采集方式、幅值和相位提取算法、模型辨识算法进行了研究。利用数字运动控制器产生离散的正弦扫频信号

同时采集响应信号并存储在磁盘上

对其进行测试后

将文件导入Matlab进行数据预处理;然后

采用相关分析方法计算输入输出信号的幅度比和相位差;最后

利用递阶辨识算法将测量得到的数据转化为高精度的传递函数。实验结果表明

测试信号基本可以覆盖伺服控制系统的频带宽度

在系统的中频段可以获得幅度0.5 dB和相位1的辨识精度

在高频段也可以使用双二节滤波器拟合出机械谐振频率

证明了该方法的有效性和实用性。

Abstract

A frequency response measurement method was proposed based on the digitization characteristics of O-E tracking servo system. The testing signal

data acquisition mode

the extraction of amplitude and phase

and hierarchical identification were investigated. The swept-sine signals were generated in the digital motion controller

and the response waveform was sampled and stored on disk automatically. After testing

the stored data were transferred to PC and preprocessed with Matlab software. The phase difference and amplitude ratio were estimated via correlation analysis. Finally

the measurement frequency-domain data were transferred into accurate transfer function with the hierarchical identification method. The experimental results show that the frequency band of the exciting signal is enough for measuring spectra of control systems

and the magnitude phase measurement accuracies of transfer function are 0.5 dB and 1 in middle frequency range

respectively

also the parameters of mechanical resonant frequencies can be identified with a bi-quadratic filter in high frequency range. These results confirm that the proposed method is effective and practical.

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references

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