A low order computer model for adaptive speed control of diesel driven power-plants
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Bibliographic record
Abstract
An adaptive control scheme, based on a low-order model of a diesel driven power plant, is used for the speed control of the prime-mover. By using an explicit identification of the delay, it is shown that a low-order identification model can prove to be adequate even when the actual plant delay is time-varying. It is shown both by the frequency response studies and by observing the output error variance that the model can be used to obtain an accurate prediction and good control in the speed loop of the plant. The performance is compared with a fixed parameter PI (proportional-integral) controller tuned to the plant, and a significant improvement is observed in both peak overshoots and settling times. The identifier/controller is robust enough to operate under the effect of flexible couplings, though large disturbances may be imposed. Correction terms may be used to account for droop factors. This, in practice, can result in significant computational gains without a significant loss of accuracy.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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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 | 0.000 |
| 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