Power control strategy for fixed-pitch PMSG-based hydrokinetic turbine
Bibliographic record
Abstract
This paper presents a power control strategy for a fixed-pitch cross-flow hydrokinetic turbine (HKT) which operates at low rotational speed region (stall region) and maximum power point tracking. The suggested system uses a permanent magnet synchronous generator (PMSG), a diode rectifier, a boost DC-DC converter which is connected to a DC microgrid. Power control of the HKT is obtained by controlling the duty cycle of the boost DC-DC converter. This method employs an inner voltage loop to stabilize the system in the stall region and an outer power control loop to regulate the diode rectifier DC-link power. The suggested control strategy has the capability to adjust the HKT output power from zero to maximum available power for the complete operating range up to the cut-out water speed. The control system is designed and developed based on a linearized model of the system. The proposed strategy is experimentally verified with an electromechanical-based HKT emulator.
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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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".