Model‐free adaptive learning control scheme for wind turbines with doubly fed induction generators
Why this work is in the frame
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Bibliographic record
Abstract
The classical control mechanisms of the wind turbines are generally based on precise modelling approaches to ensure robust and effective interplay between the wind turbines and the main power grids in both autonomous and grid‐connected modes. This study presents an innovative intelligent control system for the doubly fed induction generator wind turbines. The proposed system uses model‐free control polices. The online controller is based on a policy iteration reinforcement learning paradigm along with an adaptive actor‐critic technique. It is shown to be robust against the turbine's high non‐linearities and stochastic variations in the input–output conditions. These are associated with single and double rotor doubly fed large‐scale induction generators driven by wind turbines in the range of 5–7 MW. The performance of the controller is validated against challenging scenarios of coexisting undesired situations like severe wind changes with load excursions and abrupt shifts in the loads.
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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 | 0.000 | 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 | 0.001 |
| 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 it