| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 244934 | Applied Energy | 2009 | 9 Pages |
Abstract
This paper presents a comparative study of sliding mode, artificial neural network and model reference adaptive speed observers for a speed sensorless permanent magnet synchronous generator (PMSG) in wind energy conversion system (WECS). Wind velocity and position sensorless operating methods for wind generation system using observer are proposed only by measuring phase voltages and currents. Maximum wind energy extraction is achieved by running the wind turbine generator in variable-speed mode. In addition the three speed observers are compared to verify the robustness against parameter variations.
Related Topics
Physical Sciences and Engineering
Energy
Energy Engineering and Power Technology
Authors
Jemaa Brahmi, Lotfi Krichen, Abderrazak Ouali,