Discontinuous Bi-tri Logic SPWM for Current Source Converter with Optimized Zero-state Replacement
Bibliographic record
Abstract
This paper proposed an optimized zero-state replacement (ZSR) method for discontinuous Bi-tri logic SPWM (BTSPWM) to reduce the switching frequency and common-mode voltage (CMV). The BTSPWM can take advantages of the well-developed modulation strategies adopted in voltage source converters (VSCs) and translates into current source converter (CSC) system through logic translation. Generally, all-off gating signals can be generated through the logic translation, which should be replaced with the redundant zero-states to avoid open-circuit. However, most of the ZSR strategies are focused on switching time minimization while not considering the CMV excited by the replaced zero-states. To address the CMV issue, an optimized ZSR method for discontinuous BTSPWM was proposed to suppress the CMV while not influence the pulse width modulation (PWM) features. Not only the CMV maximum value but also the third-order component can be effectively reduced. Moreover, the proposed method can be easily applied to parallel CSC system due to the inherent modularity. The validity of proposed method is verified on both single and parallel CSC system by experiment results.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".