基于自适应抗扰观测器的随机时变系统故障检测

Fault Detection for Stochastic Time-Varying Systems Based on Adaptive Disturbance Rejection Observer

  • 摘要: 本文针对含有未知扰动的随机时变动态系统,提出了一种易于实现的全维自适应抗扰观测器,实现了系统状态估计误差与未知扰动的精确解耦;同时给出了实现状态最小方差估计的观测器增益矩阵设计方案,并证明了系统能够实现最小方差估计的充要条件;进而基于所提出的自适应抗扰观测器完成了一类线性随机时变系统的故障检测,并通过数值仿真验证了所研究方法的有效性。

     

    Abstract: The paper studies the state estimation problem for a class of time-varying stochastic systems with unknown disturbance. A type of adaptive disturbance rejection observer is proposed, which can achieve the unknown disturbance decoupling with the state estimation error. The observer design procedure is given to realize the minimum variance estimation. The sufficient and necessary condition for the existence of the observer is presented, which can provide the state estimation error with disturbance decoupling and minimum variance properties. Finally, a fault diagnosis algorithm based on the designed observer is investigated and simulation results illustrate the effectiveness of the proposed approach.

     

/

返回文章
返回