Fault Detection And Isolation For Electric Power Steering System Using Sensitivity Signature

This paper deals with fault detection and isolation (FDI) of electric power steering (EPS) system using bond graph (BG) technique and fault sensitivity signature. Firstly, BG tool is used to model the EPS system, and preferred differential causality is introduced for assigning causality to BG model. Then, analytical redundancy relations and fault sensitivity signature matrices can be respectively constructed for fault detection and isolation based on BG model. In terms of fault sensitivity signature, upper threshold and lower threshold are utilized to obtain more accurate coherence vectors (CVs), which can improve fault isolability. Finally, the effectiveness of proposed method is validated through simulation investigations.