Data Projection Method for Sensor Fault Detection and Isolation on Nonlinear Systems Based on Takagi Sugeno Model

Talel Zouari (1) , Komi Midzodzi Pekpe (2) , Vincent Cocquempot (2) , Ksouri Moufida

1 LAGIS - Laboratoire d'Automatique, Génie Informatique et Signal
2 STF - Systèmes Tolérants aux Fautes

Robust sensor Fault Detection and Isolation for nonlinear system using partial knowledge of the system is proposed in the paper. First, a suitable Takagi-Sugeno model for uncertain nonlinear system is determined using sector nonlinear method. Then the matrix input-output relation is given and the robust FDI residual is computed by projecting the relation onto the Kernel of the predetermined matrix.

Domaines: Automatique / Robotique

Talel Zouari, Komi Midzodzi Pekpe, Vincent Cocquempot, Ksouri Moufida. Data Projection Method for Sensor Fault Detection and Isolation on Nonlinear Systems Based on Takagi Sugeno Model. 50th IEEE Conference on Decision and Control and European Control Conference : IEEE CDC/ECC, Dec 2011, Orlando, United States. pp.CDROM. ⟨hal-00710173⟩