Development of a test-rig for large scale wind turbine emulation
Bibliographic record
Abstract
This research describes the development of a test-rig for observing the behavior of a large wind turbine system and investigates the design of power electronics and controller performances in a laboratory environment. The test-rig consists of a PC, Lab Master I/O board, power electronics circuitry and a 3HP separately-excited DC motor which drives a wound rotor induction generator with the rotor windings short circuited. A PC based wind turbine model is employed to simulate the wind turbine behavior where the power coefficient is a function of the pitch angle and tip-speed ratio. A velocity digital PI controller algorithm is adopted for the wind turbine controller to ensure the theoretical rotational speed of a wind turbine rotor by the separately-excited DC motor. The surge current at the motor armature is controlled through algorithm thus avoids any external current limiting circuitry. The system design, model used and preliminary experimental results of the wind turbine test-rig for a wide range of wind speed are presented in the paper.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".