A General Framework for FPGA-Based Real-Time Emulation of Electrical Machines for HIL Applications
Why this work is in the frame
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Bibliographic record
Abstract
Hardware-in-the-loop (HIL) technology is increasingly becoming the preferred, reliable, and cost-effective alternative in a virtual scenario for tedious, time-consuming, and expensive tests on real devices. This paper presents a digital hardware emulation of commonly used electrical machines for HIL simulation on the field-programmable gate arrays (FPGAs) in a general framework. This paper provides a useful and comprehensive comparison between floating- and fixed-point arithmetic for hardware implementation, and addresses the differences of deeply pipelined and highly paralleled realization schemes, and the contribution of schematic and textual programming language methods for design configuration of electrical machine models. The hardware implementation by these approaches is evaluated in terms of real-time step size, accuracy, and hardware resource consumption. Finally, an experimentally measured electrical machine behavior is employed to demonstrate the effectiveness of the emulated electrical machine.
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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 | 0.000 | 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 it