Monitoring systems have a major role in the security of industrial plants and their equipments. Reporting to the operator as soon as possible the changes in behavior of the system in relation to the expected nominal behavior is primordial for the implementation of preventive and corrective actions on the process. This article deals with the modeling and diagnosis of the Double Fed Induction Generator (DFIG) defects based on the Bond Graph tool. Since the DFIG is mostly used in the electromechanical chains of conversion of wind turbines, or as engine and its operation is governed by several physical phenomena and various technological components. The Bond Graph tool is well adapted because it is based on an energy and multiphysical analysis. We introduce the modeling tool used and come out with a bond graph model of the DFIG. Diagnostic methods based on the Bond Graph model are applied for the faults detection and isolation in the DFIG. The results showed a good possibility of fault detection and therefore a possibility to use this approach for monitoring purpose.
Defect, Diagnosis, Analytical Redundancy Relations, fault detection and isolation, DFIG
Cite this paper
A. T. Boum, D. G. Tatchou Djesseu. (2020) Modeling, Simulation and Fault Diagnosis of a Doubly Fed Induction Generator using Bond Graph. International Journal of Control Systems and Robotics, 5, 34-40
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