Development of an SVPWM-based predictive current controller for three-phase grid-connected VSI
Bibliographic record
Abstract
As a voltage type modulator, space vector PWM (SVPWM) has been widely applied in the current control of three-phase voltage source inverters (VSI). However, SVPWM has certain drawbacks compared with current type modulators. For a grid-connected VSI, the performance of current controller based on SVPWM is compromised by grid harmonics and system nonlinearity such as the control delay due to computation and sampling. In this paper, a novel SVPWM-based predictive current controller is proposed to effectively compensate for grid harmonics and completely eliminate the effect of control delay using software predictors and filters based on a dual-timer sampling system. The controller operates in the synchronous d-q reference frame and mimics the dead-beat control to control the output current to achieve its reference in each PWM period. Both simulation and experimental test results show that the proposed predictive current controller has an excellent steady state response as well as extremely fast dynamic response.
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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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".