SVPWM-based current controller with grid harmonic compensation for three-phase grid-connected VSI
Bibliographic record
Abstract
Voltage space vector pulse-width modulation (SVPWM) is widely used in the current control of three-phase voltage-source inverters (VSI). However, as a voltage-type modulator, SVPWM brings some drawbacks to controllers, such as the compromised output current due to the back EMF disturbance and nonlinearity of the system, the lack of inherent overcurrent protection, etc. In this paper, SVPWM-based current control strategy with grid harmonics compensation and dual-timer sampling scheme is proposed and implemented in a 30 kW three-phase grid-connected VSI. Both simulation and experimental results verify that the proposed current controller offers a high performance of current control even under the influence of the grid harmonics. At the same time, the proposed dual-timer sampling scheme not only minimizes the system control delay but also offers an improved response for overcurrent protection to the system.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".