A new torque hysteresis control algorithm for direct torque control of an IM drive
Bibliographic record
Abstract
A novel band adaptation algorithm for a three level torque hysteresis comparator for direct torque control (DTC) of an induction motor (IM) is presented in this paper. The hysteresis band adaptation algorithm is developed based on the slope of the estimated torque of the motor. Therefore, it does not need any extra sensor for the torque. The proposed hysteresis comparator reduces both the switching frequency of the inverter and torque ripples of the IM. Thus, it reduces the switching losses and hence improves the efficiency of the drive system. As it reduces the torque ripple, the vibration and noise produced by the motor is reduced. These factors prolong the motor life. The effectiveness of the proposed scheme is evaluated in both simulation and experiment. The results show better torque, flux linkage and stator current responses of the proposed drive as compared to the conventional three level hysteresis based DTC scheme.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".