High-Gain Single-Stage Single-Phase Common-Ground Buck–Boost Inverter
Bibliographic record
Abstract
This article presents a single-phase common-ground coupled inductor-based nonisolated inverter with a voltage boost in a single stage. The proposed inverter can also do buck (step-down) operation. The common ground nature of the proposed inverter eliminates leakage current flow between the source and the load. Leakage current flow in converters increases current and voltage harmonics, electromagnetic noise, safety concerns, and reduces efficiency. The proposed inverter adopts a lower number of components, contributing to reducing cost, and providing a compact design. Twomosfetswitches operate at the line frequency of 60 Hz, reducing the total switching losses. Only one high-frequency switch operates in both half cycles of the output voltage. There are fewer components in a conduction loop, reducing overall power losses and improving efficiency. The voltage boost, common ground, and lesser components features make the proposed inverter appropriate for renewable energy applications such as PV-grid-connected systems which generate power at low voltages. The inverter's intricate modes, operational principles, pulsewidth modulated strategy, and power loss breakdown are elucidated. With a 50-kHz switching frequency and an input dc voltage of 50 V, an output voltage of 110 Vrms is obtained. Experiments were carried out on a 400 W laboratory prototype. Results obtained from the experiments affirm the effectiveness of the proposed inverter.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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".