Estimation of State, Actuator and Sensor Faults for T-S Models

被引：16
|
作者：
Bouattour, M. [1 ,2 ]
Chadli, M. [1 ]
El Hajjaji, A. [1 ]
Chaabane, M. [2 ]
机构：
[1] Univ Picardie Jules Verne, Lab Modelisat Informat & Syst, 7 Rue Moulin Neuf, F-80000 Amiens, France
[2] Natl Engn Sch Sfax, Ind Process Ctrl Unit, Sfax 3038, Tunisia
来源：
49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC) | 2010年
关键词：
T-S fuzzy models; observer; Faults estimation; Sensor/Actuator faults; Descriptor approach; LMI; SYSTEMS; DESIGN;
D O I：
10.1109/CDC.2010.5717314
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
For nonlinear systems described by Takagi-Sugeno (T-S) model, a T-S observer is proposed to estimate both system state, sensor and actuator faults. The method uses the technique of descriptor systems by considering sensor and actuator faults as auxiliary state variables. This method has the advantage to estimate the state variables and the sensor and actuator faults simultaneously. The observer gains are then determined based on Linear Matrix Inequalities (LMI) technique. A numerical example is proposed to demonstrate the efficiency of the given design.
引用
收藏
页码：1613 / 1618
页数：6
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