Analytical Phase Shift Control for Asymmetric Two-Input Boost Converters to Minimize Output Capacitor Current
Bibliographic record
Abstract
Interleaved boost converters (IBCs) are widely used in voltage step-up applications due to their high power density and current ripple reduction. For some applications such as hybrid renewable energy systems, multistring photovoltaic (PV) systems, and solar-charged electric vehicles, the IBC may be connected to different inputs, such as different PV panels with different shading conditions, creating an asymmetric input IBC. For asymmetric IBCs, the standard phase shift angle of 360° divided by the number of phases does not minimize output capacitor current and voltage ripple. While prior approaches have suggested complex optimization search algorithms to solve this problem, this paper is the first to propose an analytical phase shift calculation method for a two-input asymmetrical IBC that lowers output capacitor RMS current. The proposed method is simple and fast, with low computational requirements, and allows for real-time phase shift adjustments with minimal control system overhead. Extensive simulation and experimental results demonstrate that the proposed analytical method effectively reduces RMS current by up to 67.2%, validating its performance across a wide range of voltage and current operating conditions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".