Data-Based Model-Free Current Control of a PMSM Using Full-Form Dynamical Linearization Technique
Why this work is in the frame
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Bibliographic record
Abstract
The effectiveness of the traditional Model Based Control (MBC) approach for the current control of the Permanent Magnet Synchronous Machine (PMSM) drives is limited by the need for accurate knowledge of the machine parameters. Considering this issue, the proposed research focuses on a Data-Based Control approach to achieve independence from the parametric mathematical model of the controlled system by focusing only on the measured data. By utilizing a new Dynamic Linearization (DL) technique with a novel notion called pseudo partial derivative (PPD), a Data-Based Model Free Control (DBMFC) scheme is presented in this paper for the current control of a PMSM. A simulation study is done to see the effectiveness of the presented control approach and its performance is compared with a Proportional Integral (PI) controller as a commonly used and well-established control method for the motor control applications.
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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