Specifications for real-time simulation of switched reluctance drives using microprocessors and FPGAs as computational engines
Bibliographic record
Abstract
This paper presents specifications for the real-time simulation of switched reluctance motor (SRM) drives using standard CPUs and FPGAs as computational engines. CPU-based real-time simulation results of a 60-kW current-controlled 6/4 SRM are presented. The SRM is fed by a three-phase unidirectional power converter having three legs, each of which consists of two IGBTs and two free-wheeling diodes. The real-time simulation of the drive is conducted on the RT-LAB real-time simulation platform using Simulink/SimPowerSystems, SRM models and a switching function approach for the inverter. Since the converter is current-controlled, the simulator latency is critical to achieving good accuracy and to avoiding current overshoot. The paper demonstrates that this type of drive can be simulated in real-time at a time-step of 15 mus with good accuracy. A specification is also presented to implement the SRM motor in a FPGA core. An FPGA implementation of the SRM model has the great advantage of very low computational time (estimated at 250 nanoseconds) and minimal total hardware-in-the-loop latency just above 1 microsecond.
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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) | 0.000 | 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 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".