Design of New Duty-Cycle Modulator Structures for Industrials Applications, an Alternative to Pulse-Width Modulation
Bibliographic record
Abstract
In this paper, two new duty-cycle modulator structures are proposed, as a good alternative to existing modulation techniques: the symmetrical linear duty-cycle modulator, and the general linear duty-cycle modulator.The proposed structures consist of two stages with operational amplifiers and theirs period and duty cycle depend on the control voltage.The first stage is a Schmitt trigger comparator which generates the modulated rectangular signal.The other, by integrating the difference between modulated and reference signals, generates a triangular signal is which is sent back to the input of the comparator.To evaluate the performance of the proposed structures, a detailed study of sinusoidal pulse width modulator, non-inverting duty-cycle modulator and they were made.The simulation results computed in MATLAB/Simulink software show that proposed modulator scan operate in low frequency range, maintaining a constant current ripple and an acceptable total harmonic distortion.Their duty-cycles are independent of the values of the passive components used.The experimental tests carried out on symmetrical linear duty-cycle modulator under various reference voltage confirms the robustness of the structure in relation to the values of the components.
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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 | 0.000 |
| 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".