title: |
A Fuzzy Approach for Sensor Fault-Tolerant Control of wind energy conversion Systems |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
| pages: | 791 - 796 | |
DOI: |
To be assigned soon (how to use a DOI) | |
author(s): |
Elkhatib KAMAL, Abdel AITOUCHE, Mireille BAYART |
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publication date: |
July 2011 |
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keywords: |
Takagi-Sugeno observer; LMI; WECS;
FTC; Fuzzy Proportional Integral Observer. |
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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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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |