Abstract
An essential control objective of wind energy conversion systems (WECSs) is to maximize the conversion of wind energy into electrical energy. This control objective is difficult to achieve using linear control techniques because the WECSs are time-varying and highly nonlinear. In this paper, we propose a nonlinear fuzzy adaptive output feedback control strategy to achieve the optimum wind power extraction of the WECSs. The control strategy is based on the input-output feedback linearization and fuzzy approximation of controller synthesized to take care of the nonlinear, time-varying plant parameter changes. Numerical simulation results verify the superiority of the proposed control strategy in comparison with the nonlinear feedback linearization strategy.
| Original language | English (US) |
|---|---|
| Title of host publication | 11th IEEE International Conference on Control and Automation, IEEE ICCA 2014 |
| Publisher | IEEE Computer Society |
| Pages | 1007-1012 |
| Number of pages | 6 |
| ISBN (Print) | 9781479928378 |
| DOIs | |
| State | Published - 2014 |
| Event | 11th IEEE International Conference on Control and Automation, IEEE ICCA 2014 - Taichung, Taiwan, Province of China Duration: Jun 18 2014 → Jun 20 2014 |
Publication series
| Name | IEEE International Conference on Control and Automation, ICCA |
|---|---|
| ISSN (Print) | 1948-3449 |
| ISSN (Electronic) | 1948-3457 |
Other
| Other | 11th IEEE International Conference on Control and Automation, IEEE ICCA 2014 |
|---|---|
| Country/Territory | Taiwan, Province of China |
| City | Taichung |
| Period | 6/18/14 → 6/20/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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