| Issue |
E3S Web Conf.
Volume 72, 2018
2018 The International Conference on Electrical Engineering and Green Energy (CEEGE 2018)
|
|
|---|---|---|
| Article Number | 01008 | |
| Number of page(s) | 6 | |
| Section | Power Electronics Technology and Electrical Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/20187201008 | |
| Published online | 05 December 2018 | |
Fuzzy Predictive Control of Wind Turbine Systems Via Singular Perturbation Theory
Jinling Institute of Technology, 211169 Nanjing, China
In this paper, the maximum power point tracking problem of variable-speed wind turbine systems is studied. The mechanical and electromagnetic dynamics of the wind turbine systems are both taken into account. Since the electromagnetic parts change much faster than the turbine part, the whole system is modeled in two time scales base on singular perturbation theory. And a T-S fuzzy model predictive control strategy is then developed. The controller is validated with a wind turbine simulator. The results have shown better performance in comparison with existing controllers.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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