Robust Optimal Control Design for a Soft-Switched AC–DC Bidirectional Converter
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Bibliographic record
Abstract
This paper presents an Multi-Input Multi-Output (MIMO) control strategy for a soft-switched AC-DC bidirectional power converter, optimally designed using an extended linear quadratic regulator (LQR) method. The proposed method is comprehensively compared with conventional approaches across three distinct scenarios: normal operation, harmonic mitigation, and grid imbalance conditions. Through detailed analysis and performance evaluation, our study demonstrates the superiority of the proposed control strategy in all three scenarios. Specifically, significant improvements are observed in harmonic mitigation and grid imbalance situations, where the proposed method exhibits exceptional effectiveness in reducing phase current total harmonic distortion (THD) and enhancing system robustness compared to conventional technique. These results emphasize the flexibility and effectiveness of the proposed control strategy in various operating conditions, indicating its capacity to improve the performance and reliability of AC-DC bidirectional converters in real-world applications.
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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 it