Sensor fault diagnosis for wind turbine system
SHEN Yan-xia
YANG Xiong-fei
ZHAO Zhi-pu
Abstract：In this paper, the approach of sensor fault diagnosis based on sliding-mode observers for nonlinear wind turbine system (WTS) is proposed. Considering the additive fault of sensor, the nonlinear dynamic model of WTS is built, then a global T-S fuzzy model of the system is established by T-S fuzzy theory. Under some assumptions, a residual which is robust to disturbance but sensitive to sensor fault is produced by designing a kind of T-S fuzzy sliding-mode observer. The residual can be used to detect the sensor fault. Then sensor fault is detected and reconstructed by the designed T-S fuzzy sliding-mode observer and the equivalence output control concept to maintain sliding-mode motion. Finally, some numerical simulations based on three blade horizontal axis wind power system are carried out. The results show that, the proposed new method can effectively and reliably detect and reconstruct the sensor fault of wind turbine system.
Keywords：wind turbine systemfault diagnosisT-S fuzzyfault detectionequivalence output controlfault recon-struction
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 321-328 )