Output observer for fault detection in linear systems

Lamine Mohamadi (1) , Xuewu Dai (1) , Krishna Busawon (1) , Mohamed Djemai (2)

1 University of Northumbria at Newcastle [United Kingdom]
2 LAMIH - Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201

Fault detection (FD) is the process of monitoring a system to identify any malfunction occurring in the system. In model based fault detection, a state estimator or observer is usually designed in order to provide an estimated output which is compared with the measured output and evaluated with a decision making algorithm to identify a fault. In this paper, a new approach for fault detection is proposed based on the design of an output observer, instead of a state observer, using an input/output system representation. The proposed output observer is employed to estimate the output of the system only in order to generate a set of residuals that are indicative of the presence of a fault. The convergence of the observer is proven for any initial condition and a fault detectability condition is set. This FD scheme is validated by simulating a model of a three wheels robot

Domaines: Automatique / Robotique

Lamine Mohamadi, Xuewu Dai, Krishna Busawon, Mohamed Djemai. Output observer for fault detection in linear systems. 2016 IEEE 14th International Conference on Industrial Informatics (INDIN), Jul 2016, Poitiers, France. pp.1262-1267, ⟨10.1109/INDIN.2016.7819361⟩. ⟨hal-03670273⟩