Elimination of Mutual Flux Effect on Rotor Position Estimation of Switched Reluctance Motor Drives Considering Magnetic Saturation
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Bibliographic record
Abstract
In this letter, an approach to eliminate the mutual flux effect on the rotor position estimation of switched reluctance motor drives without a priori knowledge of mutual flux is proposed, while operating in both linear and saturated magnetic regions. Considering magnetic saturation, the incremental-inductance estimation using the phase current slope difference method can be classified into three modes: Modes I-III. At positive-current-slope and negative-current-slope sampling point of one phase, the sign of current slope of the other phase changes in Modes I and II, but does not change in Mode III. Theoretically, the incremental-inductance estimation error introduced by the mutual flux is both rotor position and phase current dependent, which is ±1% to ±7% for the studied motor in Modes I and II. However, in Mode III, the mutual flux effect does not exist. Therefore, two methods are proposed to ensure that the incremental-inductance estimation is working in Mode III exclusively. The first one is variable-sampling incremental-inductance estimation for the outgoing phase and the other is the variable-hysteresis-band current control for the incoming phase. Simulation and experimental results show that the proposed method improves position estimation accuracy by 2° compared with the conventional method without variable-sampling and variable-hysteresis-band current control.
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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)
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Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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