An Approach to Model-Based Diagnosis of Hybrid Systems
نویسندگان
چکیده
The need for reliability and robustness in present day systems requires that they possess the capability for accommodating faults in the controlled plant. Fault accommodation requires tight integration of online fault detection, isolation, and identi cation with the system control loop. This paper develops an e ective fault diagnosis scheme for plants that mainly exhibit continuous behavior, but include supervisory control making the overall dynamic behavior hybrid in nature. We use hybrid bond graph models to develop diagnosis algorithms that combine hybrid behavior tracking, mode estimation, and qualitative-quantitative reasoning techniques. The e ectiveness of the approach is demonstrated with example scenarios generated from a threeand ve-tank systems with control valves and sources that can be turned on and o by supervisory control.
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