Three‐Port Tapped Switched‐Coupled‐Inductor Cell‐Based Inverter
Bibliographic record
Abstract
ABSTRACT A dual‐winding magnetic coupling inverter based on a new type of switched‐coupled‐inductors cell with three ports is proposed. Thanks to the different structure of the coupled inductors, the proposed three‐port tapped switched‐coupled‐inductor cell‐based inverter (3PTSCLI) provides a higher voltage gain with fewer winding turns compared with its counterparts. Likewise, due to the redesigned structure of the proposed inverter, the total voltage stress across the capacitors is reduced compared with similar topologies, resulting in reduced cost and size for the system. Additionally, the proposed inverter offers desired AC output voltage with a high modulation index, leading to high waveform quality and low stress across the semiconductors. Furthermore, the proposed inverter draws a low‐ripple, continuous current from the input DC source. Hence, it can be an ideal choice for renewable energy sources. In addition, the proposed inverter provides a capacitive high‐frequency loop to mitigate the effects of leakage inductance of the coupled inductors and voltage spikes across the inverter bridge. Experimental validation confirms the effectiveness of the proposed three‐phase inverter in maintaining stable operation under varying load conditions. The inverter operates with an input voltage of 72 V and delivers an output RMS value of 110 V, supplying 620 W of power. The results demonstrate its reliable performance and suitability for power conversion applications.
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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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".