Design of robust fuzzy fault detection filter for polynomial fuzzy systems with new finite frequency specifications

Automatica ◽  
2018 ◽  
Vol 93 ◽  
pp. 42-54 ◽  
Author(s):  
Ali Chibani ◽  
Mohammed Chadli ◽  
Steven X. Ding ◽  
Naceur Benhadj Braiek
2017 ◽  
Vol 25 (5) ◽  
pp. 1051-1061 ◽  
Author(s):  
Ali Chibani ◽  
Mohammed Chadli ◽  
Peng Shi ◽  
Naceur Benhadj Braiek

2017 ◽  
Vol 40 (10) ◽  
pp. 2991-2998
Author(s):  
Quanchao Dong ◽  
Hongyan Yang

This paper presents a finite frequency-based active fault tolerant control approach for the compensation of unknown failures in linear time-delay plants. An integration of fault detection filter based on observer technology and [Formula: see text] controller in residual feedback form is considered in the active fault tolerant control system. Different from the traditional schemes, exact fault estimation is not necessary in the proposed active fault tolerant control. To achieve the desired system performance when a fault occurs, the residual is directly embedded in the control loop as a feedback term to compensate the influence of fault. By employing the Generalized Kalman–Yakubovich–Popov lemma, we derive the sufficient conditions of the existence of such an active fault tolerant control plant, and iterative algorithms are applied to obtain the solutions to the fault detection filter and controller parameter matrices. Finally, simulation results are proposed to demonstrate the effectiveness of the developed scheme.


2014 ◽  
Vol 494-495 ◽  
pp. 885-889 ◽  
Author(s):  
Li Hua Liu ◽  
Xiu Kun Wei ◽  
Xiao He Liu

In the observer based fault detection methods, the parameter be designed and optimized is the observer gain matrix. However, an observer cannot be optimized to achieve all the expected performances. A novel fault detection filter designed method is presented in this paper, where the filter is cascaded after the observer based fault detection system. The filter is designed to be sensitive to the faults but robust to the disturbances and model uncertainties in the finite frequency domain. For the proposed filter, there are four matrices need to be optimized and the performance would be enhanced significantly. The effectiveness of the proposed method is demonstrated by applying it to a railway suspension system.


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