Research on rotating speed control of the vertical axis hydraulic wind turbine
Bibliographic record
Abstract
In this paper, the vertical axis wind turbine was selected as the research object, with emphasis on the characteristics of the accurate grid-connected motor speed control. First, the mathematic model of the vertical axis wind turbine and hydraulic main drive system was established, the aerodynamic characteristics of the vertical axis wind turbine were analyzed, and the regularity of the periodic fluctuation of the output speed of the vertical axis wind turbine was obtained. According to the wind speed prediction curve and the aerodynamic model of the vertical axis wind turbine, the characteristic curve of the wind turbine speed was obtained. Then according to the grid connection actual demand of the wind turbine, the high-precision grid-connected control strategy of the variable motor swivel and proportional throttle valve based on wind speed prediction was proposed, and the variable motor speed was found to be stable at 1500 ± 2 r/min, realizing the rapid and accurate grid-connected requirements. Finally, the control method was simulated and validated by Matlab/Simulink software, and the control method was validated experimentally on a semi-physical simulation test bench of a 30 kVA hydraulic wind turbine, which achieved a satisfactory control effect.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".