Modular Maglev: Design and implementation of a modular magnetic levitation system to levitate a 2D Halbach array
Bibliographic record
Abstract
A modular magnetic levitation system with static square coils and a moving 2D Halbach array is proposed in this paper. The mover achieves six degrees of freedom (DOF) motion with long stroke translational motion and yaw motion. A novel 2D lookup table is used to model the force and torque on the mover, including the edge effect. The 2D lookup table uses force decay ratio (FDR) and effective torque arms (ETA) to reduce the table dimension. At each levitation height, the proposed data-driven model reduces table size from 964,806 points to 791 points. This reduced-dimension table is validated to support the 6 DOF motion, including infinite yaw rotation. Then, a direct wrench and active coil selection method is used to decouple the force and torque and determine the coil currents. With the force and torque model and the active coil selection method, the mover can move across different sets of active coils for long stroke movement. Lastly, experimental validation results are presented. The motion range is ±120 mm in the horizontal direction, with a maximum speed of 500 mm/s. The system is validated to have a full 360° range of yaw motion with a maximum speed of 75 °/s.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".