陀螺稳定平台扰动的自抗扰及其滤波控制

丛爽; 孙光立; 邓科; 尚伟伟; 沈宏海

doi:10.3788/OPE.20162401.0169

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陀螺稳定平台扰动的自抗扰及其滤波控制

信息科学 | 更新时间：2020-08-13

- 陀螺稳定平台扰动的自抗扰及其滤波控制
- Active disturbance rejection and filter control of gyro-stabilized platform
- 光学精密工程 2016年24卷第1期页码：169-177
- 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. 中国科学技术大学自动化系,安徽合肥,230027
- 作者简介：
- 基金信息：
  
  中国科技大学-长春光学精密机械与物理研究所超精密控制与系统联合实验室资助项目(No.ES210010020)()
- DOI：10.3788/OPE.20162401.0169
  中图分类号： TP273.2;V44
- 收稿日期：2015-04-17，
  
  修回日期：2015-06-16，
  
  纸质出版日期：2016-01-25
- 稿件说明：
移动端阅览
丛爽, 孙光立, 邓科等. 陀螺稳定平台扰动的自抗扰及其滤波控制[J]. 光学精密工程, 2016,24(1): 169-177

CONG Shuang, SUN Guang-li, DENG Ke etc. Active disturbance rejection and filter control of gyro-stabilized platform[J]. Editorial Office of Optics and Precision Engineering, 2016,24(1): 169-177
丛爽, 孙光立, 邓科等. 陀螺稳定平台扰动的自抗扰及其滤波控制[J]. 光学精密工程, 2016,24(1): 169-177 DOI： 10.3788/OPE.20162401.0169.

CONG Shuang, SUN Guang-li, DENG Ke etc. Active disturbance rejection and filter control of gyro-stabilized platform[J]. Editorial Office of Optics and Precision Engineering, 2016,24(1): 169-177 DOI： 10.3788/OPE.20162401.0169.

摘要

分析了影响陀螺稳定平台隔离控制精度的主要因素

包括被控系统模型中的未建模部分、状态的随机扰动以及输出信号的测量噪声等。研究了综合解决各方面影响因素的控制方案以进一步提高陀螺稳定平台隔离精度。针对上述影响因素

设计一个两步控制策略。第一步

利用自抗扰对系统中未建模部分进行观测及其前向补偿

将自抗扰控制中的反馈控制设计为PID控制

以实现抗平台扰动的调节控制;第二步

利用Kalman滤波器对系统中的状态扰动及测量噪声进行滤波消除。详细描述了提出的控制策略并对其性能进行了系统仿真实验及参数优化。结果表明

该方案在幅值为3°、频率为1/6 Hz的载体扰动下能达到4.61%的隔离度

与非线性摩擦力建模辨识及其前向补偿策略控制实际陀螺稳定平台达到的隔离度的最好值9.39%相比

文中提出的控制隔离性能提高了50.9%

具有更高的实用价值。

Abstract

The main factors effect on isolation control accuracy of a gyro-stabilized platform were analyzed

including the un-modeled unit in a controlled system

the random disturbance of state and the measurement noise of an output signal. The control schemes to overcome these effect factors and improve the isolation accuracy of a gyro-stabilized platform system were explored. In order to improve the control accuracy

an integrated solution for eliminating all effect factors was researched and a two-step control strategy was proposed. The first step is to employ the Active Disturbance Rejection Control (ADRC) to observe and compensate the un-modeled unit and to design the feedback control in ADRC as PID controller to control the compensated system. The second step is to use a Kalman filter to eliminate the random disturbance and measurement noise. The control scheme was described in details and its performance was simulated. The results indicate that the isolation degree reaches 4.61% by using this control strategy when the disturbance of the platform is 3° and 1/6 Hz

which means the isolation performance has improved by 50.9% as comparing with the performance 9.39% from the control strategy which consists of the parameter identification of nonlinear friction and its forward compensation. The control strategy evidently has a higher practical application value.

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references

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