A dual high-speed PMSM motor drive emulator with finite element analysis on FPGA chip with full fault testing capability
Bibliographic record
Abstract
This paper presents a FPGA-based virtual motor drive system featuring two Permanent Magnet Synchronous Machine (PMSM) drives made with two-level IGBT/GTO inverters model with full fault capability. The inverters are implemented on the FPGA with a nodal solver, using floating point arithmetic, and support individual component faults, like a single IGBT open fault, as well as other non-standard modes, like cases with no IGBT gate signals and natural rectification. The motor model can be either linear d-q models or Finite Element Analysis models from JMAG-RT. The virtual motor drives are implemented on a Virtex-6 FPGA card and have a total latency near 1μs from the IGBT gate signal capture at Digital Inputs to motor currents at Analog Outputs and are therefore well adapted for HIL tests with high-speed machine with either PWM (up to 100 kHz) or hysteretic current control. Finally, the paper presents experimental accuracy validation made by a TIER-1 supplier for hybrid electric vehicle in Japan.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".