Modeling and control of a hysteresis IPM motor drive for electric submersible pumps
Bibliographic record
Abstract
This paper presents the modeling and performance analysis of a hysteresis IPM motor drive for electric submersible pumps (ESPs). The purpose of this paper is to extend the run-life of the downhole ESPs in offshore oil recovery plants by introducing a more reliable and more efficient submersible hysteresis IPM motor drive into the existing ESP technology. An adjustable speed controller has been designed in order to soft-start the motor at variable frequencies. Simulations have been carried out to obtain the performances of a 3-phase 4-pole 208V 2.5 kW hysteresis IPM motor drive for ESP load. Experimental investigations have been also carried out for a laboratory prototype 2.5 kW hysteresis IPM motor. Both the simulation and experimental results are presented and analyzed in this paper. Based on the simulation and the experimental results, the hysteresis IPM motor can be a possible replacement for the standard induction motors currently used for downhole ESPs.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".