Open AccessWind turbines robust fault reconstruction using adaptive sliding mode observer
Author(s) -
Taherkhani Ashkan,
Bayat Farhad
Publication year - 2019
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2018.6736
Subject(s) - control theory (sociology) , turbine , wind power , actuator , observer (physics) , fault (geology) , computer science , mode (computer interface) , robustness (evolution) , control engineering , engineering , control (management) , artificial intelligence , geology , aerospace engineering , physics , electrical engineering , quantum mechanics , seismology , operating system , biochemistry , chemistry , gene
This study addresses the problem of reliable power generation in wind turbines subject to actuator and sensor faults in the presence of disturbances and uncertainties. For this purpose, an adaptive sliding mode observer is proposed and shown that it is able to reconstruct the faults without even knowing the exact magnitude of the faults, disturbances and uncertainties. Rather, it is only assumed that these signals are bounded. For evaluation purpose, a 5 MW wind turbine system is utilised and a set of simulation results are provided, which verify the accuracy, effectiveness and robust performance of the proposed approach.