Fast and Precise Output Voltage Control of the Buck Converter Without Increasing the System's Order
Bibliographic record
Abstract
This article presents a controller for a dc/dc buck converter. The controller has four distinguishing features: 1) does not increase the order of the control system; 2) regulates its output voltage without a steady-state offset; 3) can have highly fast dynamics; and 4) has wide stability margins. Moreover, it can prevent and limit the transient over-current of the converter switch and protect it against possible short-circuit transient faults. The controller is based on leveraging and employing the converter's natural dynamics to address the control objectives. A similar process has been done in some recent publications. However, the proposed method of this article succeeds in completely removing any possible steady-state errors that some highly accurate applications may demand. The theoretical analysis, a clear step-by-step design algorithm for the controller parameters, and a detailed study of the proposed controller's performance using simulations and laboratory experimental results are presented in the article to illustrate its properties.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".