Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)

A Fuzzy Approach for Sensor Fault-Tolerant Control of wind energy conversion Systems

Authors
Elkhatib Kamal, Abdel Aitouche, Mireille Bayart
Corresponding Author
Elkhatib Kamal
Available Online August 2011.
DOI
https://doi.org/10.2991/eusflat.2011.93How to use a DOI?
Keywords
Takagi-Sugeno observer; LMI; WECS; FTC; Fuzzy Proportional Integral Observer.
Abstract
This paper presents the robust fuzzy fault tolerant control (FFTC) for nonlinear wind energy conversion systems (WECS) in the presence of bounded sensor faults and the state variable unavailable for measurement based on Takagi-Sugeno (TS) fuzzy model. Sufficient conditions are derived for robust stabilization in the sense of Lyapunov asymptotic stability and are formulated in the format of linear matrix inequalities (LMIs). The closed-loop system will follow those of a userdefined stable reference model in the presence of bounded sensor faults. The effectiveness of the proposed fuzzy fault tolerant controller and fuzzy observer design methodology is finally demonstrated through simulations on the WECS.
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Proceedings
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2011
ISBN
978-90-78677-00-0
DOI
https://doi.org/10.2991/eusflat.2011.93How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Elkhatib Kamal
AU  - Abdel Aitouche
AU  - Mireille Bayart
PY  - 2011/08
DA  - 2011/08
TI  - A Fuzzy Approach for Sensor Fault-Tolerant Control of wind energy conversion Systems
BT  - Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 791
EP  - 796
UR  - https://doi.org/10.2991/eusflat.2011.93
DO  - https://doi.org/10.2991/eusflat.2011.93
ID  - Kamal2011/08
ER  -