Adaptive observer-based fault estimation for a DFIG based wind turbine system - 2016


This paper studies the matter of fault estimation using adaptive fault diagnosis observer technique for a DFIG based wind turbine system. This adaptive fault estimation algorithm is proposed to boost the rapidity and accuracy performance of fault estimation. In specific, an electrical fault situation, the DFIG winding short circuit fault, is considered due to its high incidence rates. Based on the fault estimation data, a fault compensator is meant based mostly on fault information provided by the fault diagnosis scheme to guarantee the soundness of the system, and it incorporates with a ancient controller to supply an on-line fault compensation of winding short circuit faults. Finally, the implementation of the proposed approach and therefore the results obtained from its application to the DFIG based wind turbine system are presented to illustrate the efficiency of the proposed methodology.

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