A master-slave fuzzy logic control scheme for maximum power point tracking in wind energy systems
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Bibliographic record
Abstract
A novel master-slave fuzzy logic control (FLC) scheme for maximum power point tracking (MPPT) is proposed in this paper for wind energy conversion power system. The master fuzzy logic controller tracks the maximum power point (MPP) by generating appropriate generator speed references for the slave fuzzy logic engine (FLE). The slave FLE then forces the system to operate towards the dictated speed reference. The slave communicates to the master FLE whenever a reference has been reached. Each reference is generated only when the previous speed reference has been reached; as a result, actions due to measurement inaccuracies are avoided. In addition, the proposed scheme can distinguish between atmospheric change and intentional system perturbation, without the aid of a wind speed sensor. Detailed explanations of the proposed control logic are discussed and illustrated in this paper. Simulation results have verified the proposed concept and are provided in this paper.
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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 | 0.001 | 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)
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