Fault Detection Isolation and Estimation in a Vehicle Steering System

作者：Arogeti Shai A^*; Wang Danwei; Low Chang Boon; Yu Ming

来源：IEEE Transactions on Industrial Electronics, 2012, 59(12): 4810-4820.

DOI：10.1109/TIE.2012.2183835

• Fault detection and isolation
• fault estimation
• global analytical redundancy relations
• hybrid bond graph

Recently, a bond-graph-based fault detection and isolation (FDI) framework has been developed with a new concept of global analytical redundancy relations (GARRs) (Low, Wang, Arogeti, and Luo, 2009, 2010; Low, Wang, Arogeti, and Zhang, 2010). This new concept allows the fault diagnosis for hybrid systems which consist of both continuous dynamics and discrete modes. A failure of a safety critical system such as the steering system of an automated guided vehicle may cause severe damage. Such failure can be avoided by an early detection and estimation of faults. In this paper, the newly developed FDI method is studied in details using an electrohydraulic steering system of an electric vehicle. The steering system and faults are modeled as a hybrid dynamic system by the hybrid bond graph (HBG) modeling technique. GARRs are then derived systematically from the HBG model with a specific causality assignment. Fault detection, isolation, and estimation are applied, experimental setup is described, and results are discussed.

• 出版日期2012-12
• 单位南阳理工学院