Synchronous‐frame decoupling current regulators for induction motor control in high‐power drive systems: modelling and design
Bibliographic record
Abstract
In this study, a decoupling current regulator with a simple design approach aiming to mitigate cross‐coupling effects during torque or speed disturbance is proposed for induction motor (IM) drives that operate at the low switching frequency. The proposed control method consists to derive a decoupling transfer matrix from the plant accurate model that is inserted at the output of the current controller, while traditional methods consider the feedback synchronous currents or their errors to calculate the compensation terms. The proposed method allows the controlled system to be equivalent to a dual single‐input–single‐output system without cross‐coupling terms. The performances of this method have been validated through simulations and experiments on a 3‐kW IM powered by a 3‐level neutral‐point clamped inverter at different operating conditions. The results show that the proposed decoupling approach provides additional bandwidth frequency than traditional approaches from literature. This characteristic translates into fast response time and improved decoupling dynamics at various operating conditions.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".