Fault Detection and Reconstruction for Discrete Nonlinear Systems via Takagi-Sugeno Fuzzy Models
- 25 Downloads
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.
KeywordsDiscrete-time systems fault diagnosis singular systems state estimation
Unable to display preview. Download preview PDF.
- S. Bououden, M. Chadli, and H. R. Karimi, “Control of uncertain highly nonlinear biological process based on Takagi-Sugeno fuzzy models,” Signal Processing, vol. 108, no. C, pp. 195–205, 2015.Google Scholar
- S. H. Zak, Systems and Control, Oxford University Press, New York, 2003.Google Scholar
- Q. Jia, W. Chen, Y. Zhang, and H. Li, “Fault reconstruction and fault-tolerant control via learning observers in Takagi-Sugeno fuzzy descriptor systems with time delays,” IEEE Trans. on Industrial Electronics, vol. 62, no. 6, pp. 3885–3895, 2015.Google Scholar
- H. Hamdi, M. Rodrigues, C. Mechmeche, D. Theilliol, and N. B. Braiek, “Fault detection and isolation in linear parameter-varying descriptor systems via proportional integral observer,” International Journal of Adaptive Control and Signal Processing, vol. 26, no. 3, pp. 224–240, 2012.MathSciNetCrossRefzbMATHGoogle Scholar