Modelling and sliding‐mode control of a single‐phase single‐stage converter with application to plug‐in electric vehicles
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Bibliographic record
Abstract
In this study, a novel non‐linear sliding‐mode controller with a boundary layer solution and a redefined sliding manifold is proposed for a bidirectional converter utilised in plug‐in electric vehicles. The proposed method employs a Lyapunov function to formulate the stability condition of the non‐linear controller. The proposed switching regime and control strategy enforce a pseudo‐resistive relation at the input terminals of the converter to ensure the unity power factor in power conversion. The input resistance of the converter is regulated and controlled to positive and negative values to facilitate both grid‐to‐vehicle and vehicle‐to‐grid features, respectively. Simulation and experimental results are provided to evaluate performance of the proposed modelling and feedback control scheme.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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