Fault tolerant control of wind turbine via identified fuzzy models prototypes
Habib Chaouki Ben Djoudi 1  
,   Ahmed Hafaifa 1, 2  
,   Dalila Djoudi 1  
,   Mouloud Guemana 2  
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Applied Automation and Industrial Diagnostics Laboratory, University of Djelfa, Algeria
Faculty of Technology, University of Médéa, 26000 DZ, Algeria
Habib Chaouki Ben Djoudi   

Habib Chaouki Ben Djoudi , Ahmed Hafaifa , Dalila Djoudi , Mouloud Guemana
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
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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