Fault tolerant control of wind turbine via identified fuzzy models prototypes
| 1 | Applied Automation and Industrial Diagnostics Laboratory, University of Djelfa, Algeria |
| 2 | Faculty of Technology, University of Médéa, 26000 DZ, Algeria |
CORRESPONDING AUTHOR
Submission date: 2020-01-13
Final revision date: 2020-05-28
Acceptance date: 2020-06-01
Online publication date: 2020-06-08
Publication date: 2020-06-08
Diagnostyka 2020;21(3):3–13
KEYWORDS
TOPICS
ABSTRACT
The main purpose of this study is the comparison of two control strategies of wind turbine 4.8 MW, using fuzzy control and proportional integral control, taking into account eight kinds of faults that can occur in a wind turbine model. A technique based on fault diagnosis has been used to detect and isolate faults actuators and sensors in this system, it's about an observer applied to the benchmark model. The obtained results are presented to validate the effectiveness of this diagnostic method and present the results of the proposed control strategies.
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