Real-Time Simulation of Permanent Magnet Motor Drive on FPGA Chip for High-Bandwidth Controller Tests and Validation
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Bibliographic record
Abstract
Presented is a real-time simulator of a permanent magnet synchronous motor (PMSM) drive implemented on an FPGA card. Real-time simulation of PMSM drives enable thorough testing of control strategies and rapid deployment of vehicular or industrial applications. The PMSM model is based on Park transform with a reference frame on the rotor and assumes sinusoidal flux induction. A 3-phase IGBT inverter drives the PMSM machine. Both models are implemented with the RT-LAB real-time simulation platform of Opal-RT Technologies using a Simulink blockset called Xilinx System Generator (XSG), and without any VHDL coding. The paper explains various aspects of the design of the motor drive models in fixed-point representation in XSG, as well as actual simulation validation against a standard PMSM drive model built in Simulink. The PMSM drive, along with a test source for the pulse width modulation, is coded for an FPGA card. The model has user-selectable dead time, modulation index, source angle offset, and frequency. The overall model compilation and simulation is entirely automated by RT-LAB. The drive can also run in a closed loop with a controller executing on a CPU of a real-time simulator. The final PMSM drive model runs with a 20-ns integration time step, allows for time multiplexing of d-q values, and has an I/O latency of 310 ns (250 ns for the PMSM machine alone). The drive is directly connected to RT-LAB digital inputs and analog outputs (1 microsecond settling time) on the FPGA card and has a resulting total hardware-in-the-loop latency of 1.31 microseconds
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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