Real time flux and torque estimator for induction machines
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper presents a novel method for flux and torque estimation. Based on the observation and analysis of the behaviour of the classical torque and flux estimator structure in an indirect rotor flux oriented control (IRFOC) of a voltage fed squirrel cage asynchronous machine, the proposed structure is fully independent of the stator resistance. Implemented in dq coordinates, the estimator is based on simple calculus of signal averages. Only stator voltages and currents are required for the estimation, along with maximum and minimum detectors. Flux position and magnitude are estimated separately, and dq fluxes are rebuilt for torque estimation. The estimator is designed for systems running above 0.5 Hz, making it available for induction machine (IM) applications running over a wide range of speed. Simulations are performed on SimPowerSystems.
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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