Design of Nonlinear Controller of Large-scale Wind Turbine Pitch Control System Based on Real-time Status
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Bibliographic record
Abstract
Pitch control is one of the core control technology of large-scale Variable-speed Variable-pitch MW wind turbine system.The wind energy Absorption coefficient can be adjusted through pitch control when wind speed is higher than the rated speed of the turbines to ensure the output power constant near the rated power.Due to the lack of adaptive capacity through present control methods to severe nonlinear components,such as wind wheels,we can obtain relatively good effect only in some certain periods in the linear region,while some problems such as overshoot and tracking behind time often appear in the whole working conditions.In this paper,back-propagation double neural network is established to estimate effective wind speed dynamically,and to design nonlinear correction link of the controller based on the effective speed and the turbine's work condition,so that the output control rate is dynamically adjusted according to the nonlinear degree of the wind turbine's working point.As a result,the output of the controller will be good in the whole working condition.The simulation results show the effectiveness of the method proposed in this paper.
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Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
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Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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