Modelling, simulation and validation of average current and constant voltage operations in non-ideal buck and boost converters
Why this work is in the frame
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Bibliographic record
Abstract
DC-DC converters play a major role in a various applications in automobile engineering, portable electronics and LED drivers. In this work, basic converters like Buck and Boost converters operating in continuous conduction mode (CCM) considering the non-ideal parameters are modelled using volt-sec and amp-sec balance equations. The equations were simulated using MATLAB®/Simulink® software using appropriate step time, solver and the transients in inductor current and capacitor voltage were observed. Later, using the state space averaging (SSA) technique the transfer function of inductor current to duty ratio (Gid) and output voltage to duty ratio (Gvd) were derived. The parameters like low-frequency gain, gain margin (GM), phase margin (PM), crossover frequency, and stability were analysed using MATLAB software. It was found the non-ideal boost converter showed instability under constant voltage operation due to the presence of right half plane (RHP) zero. In order to validate the obtained transfer function using SSA, a new control technique called circuit averaging technique was used. The validation was performed using LTspice software tool. The frequency response of Gid and Gvd obtained using MATLAB and LTspice software tools showed a perfect match.
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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 | 0.001 | 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