Two stage resonant inverter for AC distributed power supply - full control of output voltage magnitude and phase angle
Bibliographic record
Abstract
Paralleling of multiple resonant inverters is necessary for AC distributed power supply system. However, the multiple module operation (MMO) requires tight regulation of the output voltage of both amplitude and phase angle. Voltage control mode (VCM) has effective control over the amplitude of the output only. Perturbation, component tolerance and other forms of uncertainties cause phase discrepancy in the output voltages of the modules. Such inverters when connected in parallel produce huge circulating currents because the ac bus impedance is very small. In this paper, a new concept of phase angle control mode (PCM) is proposed which is simple but effective for resonant inverter phase angle regulation. A two stage resonant inverter with a buck converter as front-end and a half bridge resonant Inverter in cascade is proposed with dual loop control (OLC) over the outputs of inverters. The half bridge resonant inverter regulates the voltage phase angle by PCM loop, while the buck converter regulates the voltage magnitude by a VCM loop respectively. Thermal losses are distributed in two stages and wide range of zero voltage switching (ZVS) is possible for wide range load and any kinds of load impedance. Because of the half bridge inverter operating with 0.5 duty ratio and the series parallel resonant network has high quality factor and high order, the output voltage has the best waveform quality. Since all the phase angles and magnitudes of the modules are tightly controlled, circulating current is minimized in MMO, therefore the system efficiency is improved. Simulations for both steady state and transients verify the proposed control and the analysis.
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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 | 0.000 | 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".