An FPGA-based Switch-mode Power Amplifier using Boundary Control to achieve High System Bandwidth
Bibliographic record
Abstract
Power amplifiers are critical components for Power Hardware-in-the-Loop (PHIL) applications with the requirement of low cost, high bandwidth and fast dynamic response. This paper proposes an innovative combination of a GaN device and boundary controller implemented in an FPGA to realize a high bandwidth power amplifier providing fast dynamic responses. The transient time and system bandwidth have been discussed, analyzed and verified by experiment results. In this paper, the control strategy, the implementation of a physical power amplifier and the experimental results are presented. The Power Amplifier achieves a 27 kHz average switching frequency with an output power of 100W and amplifier gain of 50. The results show the dynamic response of the system is close to the theoretical best performance under certain parameters and it can track the changes of the reference in tens of microseconds. The system reaches the highest potential system bandwidth.
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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) | 0.001 | 0.001 |
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".