Methodology and experimental set-up for DSP-based sensorless PWM speed estimation of induction machine
Bibliographic record
Abstract
Sensorless vector control is an instantaneous electromagnetic torque control technique applied to variable speed (AC) motor drives where the costly speed sensor is no longer used. It is characterized by its fast dynamic response and low cost. Sensorless variable speed drives incorporating induction machines immerged as a result of the progress in the field of power electronics and digital signal processing (DSP) technology. DSP substantially helped the implementation of complex control algorithms and the generation of patterns to control voltage source inverters. Despite the fact that the DSP technology is widely used in the industry and manufacturing data sheets are available, there are few comprehensive documents in the literature detailing the principles of development and implementation of the new generation of DSP. This paper presents the development of a DSP-based sensorless vector control of induction machine. The algorithm development methodology and the experimental results are presented for the TMS320F2812 processor.
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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".