Intelligent Condition Monitoring of Variable Speed Wind Energy Conversion Systems Based on Decentralized Sliding Mode Observer

Intelligent Condition Monitoring of Variable Speed Wind Energy Conversion Systems Based on Decentralized Sliding Mode Observer

Boumaiza Ahlem* Arbaoui Fayçal SaÏdi Mohammed Larbi

Laboratory of Automatic and Signals, Annaba (LASA), Department of Electronics, Badji Mokhtar University, Annaba, P.O. Box 12, Annaba 23000, Algeria

Corresponding Author Email: 
boumaiza.ahlem@gmail.com
Page: 
37-44
|
DOI: 
https://doi.org/10.18280/ama_c.730202
Received: 
5 April 2018
|
Accepted: 
14 June 2018
|
Published: 
30 June 2018
| Citation

OPEN ACCESS

Abstract: 

The main objective of this work is to describe the application of Decentralized sliding mode observer (DSMO) based fault detection and isolation (FDI) scheme for nonlinear variable speed wind energy conversion system (VSWECS) designed by a polytopic Quasi LPV representation, which is able to describe it as a convex combination of submodels defined by the vertices of a convex polytope. Stability conditions are performed by using Linear Matrix Inequalities (LMIs). In this work, we focus on the estimation and the reconstruction of the possible actuator and sensor faults to guarantee the efficiency and the continuous operation of this system. Simulation results are given to demonstrate the validity and the effectiveness of the proposed approach.

Keywords: 

convex combination, FDI, polytopic Quasi-LPV modelling, sliding mode observer, state estimation, VSWECS

1. Introduction
2. Wind Turbine Modelling
3. Dynamic Model and QUASI-LPV Representation of Variable Speed (WECS)
4. Decentralized Sliding Mode Observer Model Based FDI Design
5. Simulation Results
6. Conclusions
Acknowledgment

The authors would like to gratefully acknowledge the Laboratory of Automatic and Signals Annaba (LASA), Badji Mokhtar University, P.O. Box 12, Annaba 23000, Algeria.

Nomenclature
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