A Comparative Analysis of Two Formulations for Actuator Faults Detection and Isolation: Application to a Waste Water Treatment Process
Résumé
The goal in many fault detection and isolation (FDI) schemes is to increase the isolation and identification speed. This paper compares two methods for FDI. The first method is based on adaptive nonlinear observer. This approach uses the model of the system and a bank of adaptive observers to generate residuals in such way to isolate the faulty actuator after detecting the fault occurrence. The second method based on interval observers. The practical domain of the value of each actuator parameter is divided into a certain number of intervals. After verifying all the intervals whether one of them contains the faulty actuator, the faulty value is identified and the corresponding fault is isolated to achieve faster isolation speed. Simulation results show the effectiveness and the difference between the two proposed detection and isolation methods using an example of the waste water treatment process described by a nonlinear system model.
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