Design, Simulation And Implementation Of Decentralized Pi Controllers For A Multivariable Feed Blending System At The Falconbridge Sudbury Smelter
Bibliographic record
Abstract
Falconbridge's new Raglan mine started to ship nickel ore concentrate to Sudbury for smelting in the spring of 1998. The smelter's new continuous feed blending process allows for the blending of concentrate slurry from the Strathcona mill with a dry Raglan concentrate before it is roasted and fed into the electric smelting furnace. Accurate control of the concentrate ratio and density of the blended slurry was deemed critical to achieve efficient roaster and furnace operation. This paper reports on the nonlinear multivariable process modeling, decentralized controller design, and simulation studies that led to a successful commissioning of the feed blending control system. INTRODUCTION Falconbridge Limited's new Raglan mine in Northern Quebec started to ship its nickel ore concentrate to Sudbury for smelting in the spring of 1998. The new feed blending process at the Sudbury smelter allows for the blending of concentrate slurry coming from the Strathcona mill with a dry Raglan concen...
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".