Passivity-based control of magnetostrictive materials
Bibliographic record
Abstract
In this article, velocity and position controllers for magnetostrictive materials are designed and discussed. Magnetostrictive materials are a competitive choice for micro-positioning actuation tasks because of the large force and strain they provide. Unfortunately, they are highly nonlinear and hysteretic, which makes them difficult to control. In this article, the passivity approach is used to establish stability for velocity control. Using a physical argument, passivity of the system under discussion is proved. No model for magnetostrictive material is used in this proof and the result can be used in any hysteresis model for the material. This result is used to develop a stabilizing velocity controller. For position control, it is shown that a PI controller can provide stability and tracking if the hysteretic plant satisfies certain conditions. It is shown that these conditions are satisfied for the Preisach model under mild assumptions. Using this result, a class of stabilizing position controllers is identified. The velocity and position controllers are evaluated experimentally and their performances discussed.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".