Robust Fault Isolation Filter Design for Networked Control Systems

Shanbin Li (1) , Dominique Sauter (1) , Christophe Aubrun (1)

1 CRAN - Centre de Recherche en Automatique de Nancy

In this paper, the effect of network-induced delay introduced into the control loop is modelled as time-varying disturbance. Based on this model, a fault isolation filter (FIF) for fault detection of networked control systems (NCSs) with multiple faults is then parameterized. Directional residual generations decoupling from the disturbance ensure the treatment of multiple faults appearing simultaneously or sequentially. The remaining degrees of freedom in the design of the filter's gain are used to satisfy an H∞ disturbance attenuation and poles assignment constraints in the frame of Markov jump linear systems (MJLS). The sufficient existence conditions of the free parameters are formulated as a convex optimization problem over a couple of linear matrix inequalities (LMIs). An illustrative example is given to show the efficiency of the proposed method for NCS.

Mots clés: Networked control systems; Fault isolation; Fault detection; Robustness

Domaines: Automatique

Shanbin Li, Dominique Sauter, Christophe Aubrun. Robust Fault Isolation Filter Design for Networked Control Systems. 11th IEEE International Conference on Emerging Technologies and Factory Automation, Sep 2006, Prague, Czech Republic. pp.CDROM. ⟨hal-00162369⟩