A unified model-based fault diagnosis scheme for non-linear discrete-time systems with additive and multiplicative faults
A unified model-based fault diagnosis scheme for non-linear discrete-time systems with additive and multiplicative faults
复制标题
具有加性和乘性故障的非线性离散时间系统的基于模型的统一故障诊断方案
DOI：
10.1177/0142331212473141
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
S. Jagannathan
中科院分区：
文献类型：
--
作者：
H. Ferdowsi;S. Jagannathan
本文设计了一种统一的基于模型的故障诊断方案，它同时处理乘性执行器故障和加性系统故障。对于一类不确定非线性离散时间系统，该MFD方法不仅能够检测执行器的加性和乘性故障，而且能够识别故障类型。故障检测使用一种新的故障检测观测器组成的两个在线逼近离散时间（OLAD）和一个强大的自适应项。在检测时，引入故障诊断方案以通过监测经由第一OLAD输出生成的输入残差来确定故障类型。在线执行诊断后，观察器中相应的OLAD被激活，另一个OLAD被关闭。在此基础上，利用主动OLAD的参数更新规律和用户选择的故障阈值，提出了一种在线的故障前时间控制方案。在乘性故障的情况下，检测残差和参数估计误差的有界性，而在加性故障的情况下，由于鲁棒自适应项，检测残差和参数估计误差的渐近收敛性得到保证。最后，通过仿真实例验证了所提出的故障诊断方案。
In this paper, a unified model-based fault diagnosis (MFD) scheme that deals with both multiplicative actuator and additive system faults is designed. For a class of uncertain non-linear discrete-time systems, this MFD scheme is capable of not only detecting both additive and multiplicative actuator faults but also identifying the fault type. Faults are detected by using a novel fault detection observer consisting of two online approximators in discrete-time (OLAD) and a robust adaptive term. Upon detection, a fault diagnosis scheme is introduced to determine the fault type by monitoring the input residual generated via the first OLAD output. Upon performing the diagnosis online, the appropriate OLAD is activated in the observer and the other OLAD is switched off. Thereafter, by using both the parameter update law of the active OLAD and user-selected failure threshold, an online time-to-failure scheme is introduced. In the case of multiplicative faults, boundedness of the detection residual and parameter estimation errors is shown while in the case of additive faults, the asymptotic convergence of the detection residual and parameter estimation errors is guaranteed due to the robust adaptive term. Finally, a simulation example is used to demonstrate the proposed fault diagnosis scheme.