Fuzzy Gain Tuner for Vector Control of Doubly-Fed Wind Driven Induction Generator
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Bibliographic record
Abstract
In this paper, a fuzzy inference system is proposed to tune the proportional and the integral gains of the PI part of the vector controller used to control a wind driven doubly-fed induction generator (DFIG). The proposed fuzzy system has a single input for each variable to be controlled, which is the error signal of that variable, and two outputs which are the proportional gain and the integral gain. The input signal has 9 membership functions while the outputs have 5 membership functions each. The fuzzy system has 9 rules and the defuzzification method employed is the center of area. The results obtained from a system using the proposed fuzzy gain tuner shows more accurate control and faster response with almost no steady-state error when compared to a system employing constant gains
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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 | 0.000 |
| 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