Commande des systèmes hybrides rapides. Applications aux systèmes mécatroniques
Bibliographic record
Abstract
Les systèmes électrotechniques et plus particulièrement l'association d'un convertisseur statique avec une charge constitue un système dynamique hybride pour lequel la commande est sujette à des contraintes de calcul en temps réel sévères (quelques centaines de microsecondes). La spécificité de ces systèmes hybrides nous a conduits à proposer un modèle simplifié dont la validité est restreinte à l'horizon de décision et une commande pouvant satisfaire à ces contraintes. Diverses stratégies de commande ont été testées et validées sur des démonstrateurs en temps réel sur les applications suivantes : convertisseur multicellulaire, machine synchrone, machine asynchrone et vérin électropneumatique. Electrotechnical systems and specially the association of a static converter to a load constitute a dynamic hybrid system. Real-time constraints are important for the control of these systems (a few hundreds of microseconds). Specificities of these hybrid systems lead us to propose a simplified model with validity limited to the calculation occurrence and control approach which can fulfil these constraints. Different control strategies were established, tested and validated on real-time experimental equipments such as multi-cell converter, synchronous and asynchronous machine and pneumatic cylinder.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".