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Application of Extension Sliding Mode Strategy to Maximum Power Point Tracking in Human Power Generation Systems
| Content Provider | Semantic Scholar |
|---|---|
| Author | Wang, Meng-Hui Yau, Her-Terng Jiang, Wei-Jhe |
| Copyright Year | 2015 |
| Abstract | Sliding mode strategy (SMS) for maximum power point tracking (MPPT) is used in this study of a human power generation system. This approach ensures maximum power at different rotation speeds to increase efficiency and corrects for the lack of robustness in traditional methods. The intelligent extension theory is used to reduce input saturation and high frequency switching in sliding mode strategy, as well as to increase the efficiency and response speed. The experimental results show that the efficiency of the extension SMS (ESMS) is 5% higher than in traditional SMS, and the response is 0.5 s faster. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.mdpi.com/2076-3417/5/3/259/pdf |
| Alternate Webpage(s) | https://res.mdpi.com/applsci/applsci-05-00259/article_deploy/applsci-05-00259.pdf?attachment=1&filename= |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Calculi Cell Surface Extensions Converter Device Component Esophageal Hernia Failure cause Goodyear MPP Interference (communication) MPZ gene Maximum power transfer theorem Robustness (computer science) Simulation Speed (motion) |
| Content Type | Text |
| Resource Type | Article |
