Magnetized Dickson Charge Pump Inverters
Bibliographic record
Abstract
A class of high step-up single-stage inverters based on magnetically coupled inductors and a Dickson charge pump (CP) technique is presented. Firstly, the magnetized Dickson charge pump inverter (MDCPI) is presented, producing a higher voltage gain with fewer components than its counterparts. Unlike conventional magnetically coupled impedance source networks, the suggested structure provides a substantial voltage boost at a meager shoot-through duty ratio range of 0 to 10%. Thus, it offers a high step-up ability with high modulation index and smaller number of winding turns. Hence, the proposed inverter can be an excellent choice for applications with space constraints where the high output voltage, high power quality, and fewer components are the main issues. However, in addition to drawing discontinuous input current from the dc source, the topology requires tight magnetic coupling to reduce the effect of the leakage inductance. In order to address the aforementioned drawbacks, an improved MDCPI (IMDCPI) is proposed. Although the IMDCPI employs more passive components, it delivers a higher output voltage with reduced dc-link voltage spikes across the inverter bridge. Compared with the existing voltage multipliers such as Dickson, Cockcroft–Walton, and Greinacher, the proposed structures do not require extension by adding extra stages and chains to obtain demanded high voltage. Additionally, the presented topologies solve the conventional voltage multipliers' drawbacks, including output voltage drop and significant voltage stress across the CP cells' capacitors. Input current ripple and flux density of the coupled transformer in IMDCPI is compared with its counterparts to demonstrate its improved features. Detailled experimental results are provided which verify the proposed inverters' performance.
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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) | 0.004 | 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".