Design and tuning of valve position controllers with industrial applications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Mid-ranging refers to control problems where there are two manipulated inputs and only one output to control. Most mid-ranging controllers in industrial use today are based on the valve position control concept. Presently, design and tuning of valve position control schemes is largely done ad hoc. As a result, much time is spent devising control strategies that may work well in one application, but not nearly so well in another. To address this problem, we set out to devise a systematic approach to the design and tuning of valve position controllers. The new method was tested in simulation, and pilot plant and paper mill examples were used to demonstrate the performance of the method in several real-life applications. Overall, the proposed design was able to reject disturbances quicker and mid-range faster, and with less oscillation than conventional schemes. This approach may be applied to virtually any mid-ranging control application and is easily implemented on any distributed control system.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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