Fault Detection and Reconstruction for Discrete Nonlinear Systems via Takagi-Sugeno Fuzzy Models

• DOI: 10.1007/s12555-017-0582-4
• Publication Date: 2018-10-30T10:52:27Z
• Authors: Shenghui Guo; Fanglai Zhu; Wei Zhang; Stanisław H. Żak; Jian Zhang
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

Observer-based actuator fault detection and sensor fault reconstruction for a class of discrete-time nonlinear systems with actuator and sensor faults are investigated in this paper. A descriptor Takagi-Sugeno (T-S) fuzzy model is employed to construct observer-based systems for the purpose of fault detection and sensor fault reconstruction. Two methods for observer design are proposed. In the first method, the observer gains are computed off-line. In the second method, the observer gains are computed on-line at each iteration. The observer designs are formulated using linear matrix inequalities. Sufficient conditions for the existence of the observer-based fault detection and sensor fault reconstruction systems are provided. Comparative simulation study to illustrate the validity of the proposed methods is performed.