Flatness Approach to Fault Parametric Detection of Systems

In this paper a flatness approach to fault parameter detection is proposed. Our main contribution in this work consists in the synthesis of a flat moving horizon estimator for a supervision industrial process. The effectiveness of the proposed method is shown through the supervise of a series DC motor. The obtained results are very satisfactory in terms of detection rapidity and precision relatively to the case where the classic state estimator is adopted.