A New Approach to Reduce DC-Bus Capacitance in Regenerative CHB Motor Drives
Bibliographic record
Abstract
The cascaded H-bridge (CHB) converters with diode-front-end (DFE) structure have been widely adopted in non-regenerative high-power medium-voltage motor drives. In order to allow regenerative capability, the diode-front end (DFE) in each power cell can be replaced by an IGBT-based active-front-end (AFE) operating as a PWM rectifier. Due to the inherent instantaneous power unbalance in the AFE-based CHB power cells, the DC-bus capacitance needs to be increased to reduce DC-bus voltage ripples. To reduce the DC-bus capacitance, control degrees of freedom provided by the PWM rectifiers can be exploited to mitigate the DC-bus voltage ripples. This paper proposes a new controller for regenerative CHB converters to perform DC-bus voltage control and ripple mitigation while maintaining high dynamic performance and canceling low order harmonics at the grid side to meet the grid standards. The effectiveness of the proposed control scheme is validated experimentally on a seven-level regenerative CHB drive.
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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 | 0.001 |
| 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".