Nonlinear observer-based fault detection and isolation for wind turbines | IEEE Conference Publication | IEEE Xplore

Nonlinear observer-based fault detection and isolation for wind turbines


Abstract:

This paper is concerned with the development of a novel nonlinear observer-based scheme for early Fault Detection and Isolation (FDI) in wind turbines. The method is base...Show More

Abstract:

This paper is concerned with the development of a novel nonlinear observer-based scheme for early Fault Detection and Isolation (FDI) in wind turbines. The method is based on designing a nonlinear observer using State Dependent Differential Riccati Equation (SDDRE) and a nonlinear model of the 5MW wind turbine. The fault detection system is designed and optimized to be most sensitive to system faults and least sensitive to system disturbances and noises. The comparison of system outputs with nonlinear observer outputs are given to demonstrate good estimation performance. The residual generator based on the nonlinear observer is also employed to develop a monitoring system. Simulation results presented to illustrate that the proposed method is robust and can detect and isolate a fault or multi-faults in sensors of the wind turbine.
Date of Conference: 16-19 June 2014
Date Added to IEEE Xplore: 20 November 2014
ISBN Information:
Conference Location: Palermo, Italy

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