Fast Response Sliding Mode Linear Speed Control of a Magnetic Screw Motor Based on Feedforward Compensation Strategy
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Bibliographic record
Abstract
The dynamic performance of the magnetic screw motor (MSM) drive system is influenced by the motor structure. In particular, when the motion direction of the mover changes, the MSM will stagnate for a while. Therefore, a sliding mode linear speed controller (SMLSC) is designed for the MSM linear speed drive system to enhance the dynamic performance of the system. Considering that the regulating function of the controller is limited, a novel feedforward compensation strategy based on the transmission ratio of the MSM is proposed to further shorten the stagnation time of the mover and improve the response speed of the system without affecting the system stability. The proposed compensation strategy can obtain the desired rotor angle speed and the desired <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$q$ </tex-math></inline-formula> -axis current in advance when the given linear speed changes. Then, the desired values are compensated for the given rotor speed and the given <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$q$ </tex-math></inline-formula> -axis current. Furthermore, the influence of the relative motion error caused by the change in transmission ratio on the feedforward compensation strategy is analyzed. The reliability and validity of the proposed method are verified through experiment results.
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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 | 0.001 | 0.002 |
| 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