<scp>PI</scp> averaging level control in plantwide systems
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Bibliographic record
Abstract
Abstract This work evaluates P‐only and PI averaging level control (ALC) for a tanks‐in‐series recycle process, a basic model for the material balance dynamics in non‐reactive recycle systems. While P‐only ALC tuning for an isolated tank is directly applicable to the recycle system, PI ALC requires a systematic detuning procedure due to complex dynamics and flow amplification down the tank cascade. The developed procedure ensures small flow amplification and full surge capacity utilization under worst‐case disturbances. The tuned PI ALC system achieves noticeably lower stop‐band frequency for recycle flow compared to P‐only ALC. A refined surrogate model is used to apply PI ALC to a three‐column azeotropic separation process, showing significant high‐frequency variability attenuation, though with mild flow amplification around a low‐frequency resonance peak. The work suggests that despite literature recommendations to the contrary, PI LC that removes level offset, benefiting operators, can be applied in plantwide systems, if tuned systematically.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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