Switching Fault-Tolerant Control for DFIG-based Wind Turbines with Rotor and Stator Current Sensor Faults

This paper presents a switching fault-tolerant control (SFTC) strategy for a doubly-fed induction generator-based wind turbine (DFIG-WT) subject to rotor and stator current sensor faults. A novel stator-current-loop vector control scheme is proposed for the regulation of DFIG-WT without involving ro...

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Bibliographic Details
Published in:IEEE access 2019-01, Vol.7, p.1-1
Main Authors: Xiahou, K. S., Liu, Y., Wang, L., Li, M. S., Wu, Q. H.
Format: Article
Language:English
Subjects:
Control stability
Control systems
current sensor faults
Directional control
Doubly-fed induction generator
Fault detection
Fault tolerance
Fault tolerant systems
Faults
Induction generators
Kalman filters
Observers
Parameter robustness
Parameter uncertainty
Robustness
Rotor stator interactions
Rotors
Sensors
stator-current-loop vector control
Stators
Strategy
Switches
Switching
switching fault-tolerant control
wind turbine
Wind turbines
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Summary:This paper presents a switching fault-tolerant control (SFTC) strategy for a doubly-fed induction generator-based wind turbine (DFIG-WT) subject to rotor and stator current sensor faults. A novel stator-current-loop vector control scheme is proposed for the regulation of DFIG-WT without involving rotor currents, and it is compared with the conventional rotor-current-loop vector control scheme on closed-loop stability, tracking performance, and robustness against model uncertainties and external disturbances through theoretical analysis. The SFTC strategy switches between the rotor and stator current vector controllers via a switching logic based on Kalman filter-based fault detection and isolation (FDI) scheme. The proposed SFTC strategy is able to provide superb transient and steady-state performance, strong robustness to parameter uncertainties, and high fault-tolerance capability under rotor and stator current sensor faults. Simulation studies verify the control performance of the SFTC strategy.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2931927