Relative Speed Compensation for Sensorless Control of Magnetic Screw Motor Based on an Improved Pulsating Current Injection Method
Bibliographic record
Abstract
The magnetic screw motor (MSM) drive systems often require both a rotary encoder and a linear encoder for their precise positioning, which makes the design of such systems very challenging and costly. This paper proposes a novel position sensorless control strategy. First, an improved pulsating current injection (IPCI) sensorless control is proposed to replace the rotary encoder. This method associates the amplitude of the injection signal with the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">q</i> -axis current by introducing a transformation matrix. In the proposed method, the amplitude of the injection signal increases with the load/speed variation, which enhances the rotary speed estimation accuracy in transients. Meanwhile, when the motor operates in a steady state, the amplitude of the injection signal is maintained in a low range, which reduces the audible noise. Second, the linear encoder is eliminated using a relative speed compensation based on a lookup table (LUT) method. The relative speed under different linear speeds can be obtained and tabulated from several experimental tests. The presented experimental results verify the proposed method and its performance.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".