基于T-S模型的网络控制系统故障诊断

Fault Detection Based on T-S Fuzzy Model for Networked Control Systems

针对一类参数不确定并具有时延和丢包情况的非线性网络控制系统,为达到快速准确的进行故障诊断的目的,提出了一种基于T-S模糊模型的故障诊断方法。通过建立此系统的T-S模糊模型,利用平行分布补偿时延的思想设计了满足系统稳定性条件的状态反馈控制器,以及通过引入随机切换系统表示数据有无丢失情况下的基于模糊观测器的鲁棒故障诊断方法,然后基于Lyapunov函数和线性矩阵不等式方法给出了该闭环网络控制系统渐近稳定的充分条件,最后通过仿真例子验证了该方法能够使闭环控制系统渐进稳定以及能够准确的进行故障诊断,验证了所设计方法的有效性。

Concerning the nonlinear networked control system（NCS） with network-induced delay and data-packet dropout, a fault diagnosis method is presented based on the T-S fuzzy model. A state feedback controller is designed by using, the parallel distributed compensation（PDC） scheme for induced delay. And a robust fault diagnosis method for data-packet dropout are presented. Robust fault detection filter based on the fuzzy state observer is achieved. With the theory of Lyapunov, the sufficient conditions for the asymptotic stability of the closed -loop system are derived. The controller and observer can be obtained by solving a set of linear matrix inequalities （LMI）. A numerical example with Matlab demonstrates the effectiveness of the proposed method .