Innovative Controller Design for a 5MW Wind Turbine Blade
Bibliographic record
Abstract
The development and evaluation of a nonlinear pitch controller for wind turbine blades and the design and modeling of an associated actuator and controller was examined. The pitch actuator and controller were modeled and analyzed using Pneumatically Actuated Muscles (PAMs) for actively pitching the wind turbine blade. PAMs are very light and have a high specific work and a good contraction ratio. Proportional Integral and Derivative (PID) controllers were envisaged for the wind turbine pitching system at the blade tip due to its routine usage in the wind turbine industry. Deployment of controllers enables effective pitch angle tracking for power abatement at various configurations. The controller was subjected to four pitch angle trajectory signals. PID controllers were tuned to achieve satisfactory performance when subjected to the test signal. Low pitch angle errors resulted in satisfactory blade pitch angle tracking. Deployment of these controllers enhances wind turbine performance and reliability. The data suggest that the pitch system and actuator that was modeled using PAMs and PID controllers is effective providing robust pitch angle trajectory tracking. The results suggest that the proposed design can be successfully integrated into the family of wind turbine blade pitch angle controller technologies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.000 | 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)
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 teacher head, 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".