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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiaoran Feng Patton, R. |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Eng., Univ. of Hull, Kingston upon Hull, UK (Xiaoran Feng; Patton, R.) |
| Abstract | This paper proposes an approach to fault tolerant control (FTC) of variable-speed wind turbine subject to wind speed sensor faults when the turbine is operating below rated wind speed. Both hardware and analytical redundancy are utilized in this approach. The least-Squares Support Vector Machine (LS-SVM) is proposed as the Fault Detection and Isolation (FDI) unit for the wind speed sensor fault. Single and multiple sensor faults are both considered in this strategy. LS-SVM is also used to estimate the effective wind speed (EWS), which is an unmeasurable signal. Based on the FDI unit, good FTC performance is achieved by identifying the faulty sensors and switching to the healthy sensor or the estimated EWS to provide the required controller reference signal. A robust MPC controller is then designed in order to consider the uncertainty due to error of EWS estimation and respect the physical system constraints. |
| Starting Page | 504 |
| Ending Page | 509 |
| File Size | 1506704 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479928552 |
| ISSN | 21621209 |
| DOI | 10.1109/SysTol.2013.6693891 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-10-09 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Support vector machines Uncertainty TV Estimation Switches Hardware |
| Content Type | Text |
| Resource Type | Article |
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