A Novel Minimum-Phase Dual-Inductor Hybrid Boost Converter with PWM Voltage-Mode Controller
Bibliographic record
Abstract
This paper presents a new dual-inductor hybrid boost converter (DI-HBOC) with two inductors located at the output. This structure allows continuous current delivered to the load, thus, reducing the output filtering capacitor size and the output voltage ripple. By relocating the inductor at the output, which is the lower current path, the conduction loss on the inductor can be significantly reduced. The right half plane zero (RHPZ) in the control-to-output transfer function can also be eliminated; therefore, a simple pulse-width modulation (PWM) voltage-mode controller can be used for the proposed DI-HBOC while still achieving high closed-loop bandwidth and fast transient response. The distinct features of the proposed converter are analytically demonstrated. A 12-to 24 V DI-HBOC and a conventional BOC (CBOC) using low- R ON GaN switches with PWM voltage-mode controller are also implemented in PSIM for verification and comparison. The simulated peak power efficiency is 97.4 % that is 1.17 % higher than the CBOC. At 3 A load current, the power efficiency is improved by 9.7 % and the output ripple is only 17.5 mV, 6x lower than in CBOC.
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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) | 0.002 | 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".