基于主导子系统的非线性系统鲁棒故障诊断(英文)

Robust Fault Diagnosis of Nonlinear Systems Based on Dominant Subsystem

针对非线性不确定系统的故障诊断问题,提出了一种基于主导子系统的自适应模糊观测器设计方法。利用主导子系统的观测器增益矩阵进行模糊观测器的设计,并推导出了系统状态估计误差有界的条件以及故障估计所要满足的自适应算法。另外,考虑到系统带有建模不确定,对故障检测的鲁棒性和灵敏度进行了分析。给出的仿真示例说明所提出的方法是有效的。

An approach of adaptive fuzzy observers based on dominant subsystem was proposed, for the problem of fault diagnosis in uncertain nonlinear systems. The fuzzy observer was designed using the gain matrix of the dominant subsystem. The bounded stability condition of the state estimate error and the adaptive arithmetic of fault estimation were deduced. Moreover, considering the modeling uncertainty of the system, the robustness and sensitivity of fault diagnosis were analyzed. A given simulation example illustrates the effectiveness of the proposed method.