A Multi-objective Filtering Approach for Fault Diagnosis with Guaranteed Sensitivity Performance
نویسندگان
چکیده
The paper addresses the problem of model-based fault detection. Synthesis techniques for the design of fault detection filters are developed. Fault sensitivity objectives and time-domain constraints are handled in the design procedure, while guaranteeing robustness to noise, disturbances and modeling errors. The design method involves linear matrix inequality (LMI) optimization techniques and the generalized structured singular value μg. The approach is applied to a 3-Tanks system and experimental results demonstrate the potential of the proposed method.
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