Fault Detection for Interval Type-2 T-S Fuzzy Networked Systems via Event-Triggered Control

Machines

Fengxia Xu¹  Chunda Zhang¹  Zhongda Lu¹  Zifei Wang¹  Lijing Wang¹ 

[1] School of Mechanical and Electrical Engineering, Qiqihar University, Qiqihar 161006, China;

关键词: fault diagnosis;    event-triggered control;    interval type-2 Takagi–Sugeno fuzzy model;    nonlinear networked systems;    filter;   

DOI  :  10.3390/machines10050347

来源: DOAJ

【 摘 要 】

This paper investigates the event-triggered fault diagnosis (FD) problem for interval type-2 (IT2) Takagi–Sugeno (T-S) fuzzy networked systems. Firstly, an FD fuzzy filter is proposed by using IT2 T-S fuzzy theory to generate a residual signal. This means that the FD filter premise variable needs to not be identical to the nonlinear networked systems (NNSs). The evaluation functions are referenced to determine the occurrence of system faults. Secondly, under the event-triggered mechanism, a fault residual system (FRS) is established with parameter uncertainty, external disturbance and time delay, which can reduce signal transmission and communication pressure. Thirdly, the progressive stability of the fault residual system is guaranteed by using the Lyapunov theory. For the energy bounded condition of external noise interference, the performance criterion is established using linear matrix inequalities. The matrix parameters of the target FD filter are obtained by the convex optimization method. A less conservative fault diagnosis method can be obtained. Finally, the simulation example is provided to illustrate the effectiveness and the practicalities of the proposed theoretical method.

【 授权许可】

Unknown