Machine Parameter-Independent Maximum Torque Per Ampere Control for Dual Three-Phase PMSMs
Bibliographic record
Abstract
This article proposes a novel dual dc injection-based maximum torque per ampere (MTPA) control algorithm for dual three-phase permanent magnet synchronous machines (PMSMs). The proposed analytical model takes magnetic saturation and temperature effects into account for achieving optimal current angle. In taking consideration of the two effects, a set of small currents are injected in the harmonic plane rather than the fundamental subspace, namely DQ2, which does not interfere with average torque output. In such a way, a novel torque model only involving the command currents and voltages is derived to avoid machine parameters. Furthermore, an MTPA indicator is constructed by the proposed torque to current model to seek the MTPA angle, in which the optimal current angle is found when the indicator magnitude reaches the maximum. In particular, the gradient descent algorithm is employed to ensure the adaptivity and robustness of MTPA control, which offers high real-time capability, low computational cost and low complexity. The experiments validate the proposed MTPA strategy under various load, speed and temperature conditions.
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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".