Title :
Energy-Based Mode Tracking of Hybrid Systems for FDI
Author :
Arogeti, Shai A. ; Wang, Danwei ; Low, Chang Boon ; Luo, Ming
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
Hybrid systems operate in various states, which are represented by a set of modes. In each mode, the system is governed by continuous dynamics, and different modes correspond to different continuous models. For hybrid systems, model-based fault detection and isolation is a challenging task due to the fact that the system´s prevailing dynamical model and its current mode (discrete state) are mutually dependent and intertwined. In this paper, a new energy-based approach is introduced for mode tracking of hybrid systems, and its associated systematic analysis is based on a hybrid bond graph. Each system´s mode is characterized by a concise energy relation that allows mode identification in the new mode tracking method.
Keywords :
bond graphs; condition monitoring; fault diagnosis; FDI; concise energy relation; continuous dynamics; continuous model; current mode; dynamical model; energy-based approach; energy-based mode tracking; hybrid bond graph; hybrid system mode tracking; hybrid systems; model-based fault detection-isolation; Computational modeling; Junctions; Monitoring; Observers; Power measurement; Sensors; Systematics; Fault diagnosis and isolation; hybrid systems; model based; power net (PN);
Journal_Title :
Systems, Man, and Cybernetics: Systems, IEEE Transactions on
DOI :
10.1109/TSMCA.2012.2193879