Abstract
This paper presents a direct fuzzy adaptive control for standalone Wind Energy Conversion Systems (WECS) with Permanent Magnet Synchronous Generators (PMSG). The problem of maximizing power conversion from intermittent wind of time-varying, highly nonlinear WECS is dealt with by an adaptive control algorithm. The adaptation is designed based on the Lyapunov theory and carried out by the fuzzy logic technique. Comparison between the proposed method and the feedback linearization method is shown by numerical simulations verifying the effectiveness of the suggested adaptive control scheme.
| Original language | English (US) |
|---|---|
| Title of host publication | International MultiConference of Engineers and Computer Scientists, IMECS 2012 |
| Editors | Craig Douglas, Jon Burgstone, W. S. Grundfest, S. I. Ao |
| Publisher | Newswood Limited |
| Pages | 994-999 |
| Number of pages | 6 |
| ISBN (Electronic) | 9789881925244 |
| ISBN (Print) | 9789881925190 |
| State | Published - Jan 1 2012 |
| Externally published | Yes |
| Event | 2012 World Congress on Engineering and Computer Science, WCECS 2012 - San Francisco, United States Duration: Oct 24 2012 → Oct 26 2012 |
Publication series
| Name | Lecture Notes in Engineering and Computer Science |
|---|---|
| Volume | 2 |
| ISSN (Print) | 2078-0958 |
Other
| Other | 2012 World Congress on Engineering and Computer Science, WCECS 2012 |
|---|---|
| Country/Territory | United States |
| City | San Francisco |
| Period | 10/24/12 → 10/26/12 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Fuzzy logic
- Nonlinear adaptive control
- Permanent magnet synchronous generators
- Wind energy conversion system
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