Optimization of discrete-time controller applied to DC-DC step-down converter
Bibliographic record
Abstract
The paper describes the optimization of a discrete-time controller designed on the basis of discrete root locus for the boost converter operating at 1000 kHz. The optimization is accomplished through a nonlinear least squares method. The digital control theory is not as rich as the analog control theory. Locating poles and zeros directly in the z-plane by a designer to render the required performance is a difficult task to accomplish. Direct placement of poles and zeros may also introduce distortion as well. Consequently, direct digital design approach based digital controller may not offer satisfactory performance. The poles and zeros are disturbed around their nominal positions through the optimization technique to snub the atrocities introduced by the unwanted digital phenomena. Effect of nonlinearities in the form of ADC/DAC quantization error, delay, etc. on performance is also accentuated. The effectiveness of the application of the optimization technique to the buck converter is investigated using the MATLAB/Simulink environment.
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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".