A flux estimator for field oriented control of an induction motor using an artificial neural network
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Bibliographic record
Abstract
Field oriented control (FOC), sometimes called vector control, is used in inverter-fed induction motor drives to obtain high performance speed response. For field oriented control it is necessary to know the instantaneous magnitude and position of the rotor flux. The magnitude and position of the rotor flux is approximated based on flux measurements in the direct FOC scheme and estimated in the indirect FOC scheme. In this paper a novel flux estimator, the neural network flux estimator, is presented. The neural network is able to estimate accurately the rotor flux magnitude or position (maximum absolute error is less than 0,03 p.u.) for line-start operation of an induction motor. Its ability to estimate flux response that lies outside of the neural network training data set is another one of its strengths. The authors' preliminary work indicates that neural network flux estimation may be a feasible alternative to other flux estimation methods.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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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