Nonlinear speed control of large industrial DC motor drives with an energy efficiency enhancement loop
Why this work is in the frame
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Bibliographic record
Abstract
The paper presents a novel dynamic speed reference trajectory tracking controller using an error driven self-adjustable, self-regulating nonlinear control block. The speed controller has two time-decoupled control/regulation loops namely: (i) the speed reference trajectory tracking loop; and (ii) a supplementary minimum power input dynamic tracking-search loop to ensure higher utilization efficiency for inrush type, cyclical and dynamic loads. The paper presents Matlab digital simulation results of a DC motor drive system with the switching inherent delay and other drive/control nonlinearities taken into consideration. The self adjusting hyper error driven nonlinear control block ensures good speed reference tracking, minimum inrush current and excursions as well as online energy conservation and electrical power energy savings for large industrial DC motor drives in the range (100 kW-1000 kW).
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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) | 0.001 | 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