Fractional order plasma position control of the STOR-1M tokamak
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
This work deals with plasma position estimation, modeling, and control for the ‘Saskatchewan Torus 1 - Modified (STOR-1M)’ tokamak. The basic operating mechanism and system details are presented initially to provide the reader with a complete understanding of the plant and the control objective. The data required for plasma position estimation and the methodology used is briefly presented, followed by plasma position modeling. An effective method for offline plasma position estimation is presented. The simulated results for position control using a standard (Ziegler-Nichols) ZN-PID controller and a (Fractional Order) FO-PI controller are compared with each other. The problems that arise when dealing with such a fast-operating and challenging system are detailed throughout. The results obtained using analog hardware to emulate the plasma position and purely analog FO-PI control are also included.
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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