A VBR induction machine model implementation for SimPowerSystem toolbox in Matlab-Simulink
Bibliographic record
Abstract
This paper presents a Voltage-Behind-Reactance (VBR) induction machine model for the Matlab-Simulink toolbox SimPowerSystem, which is widely used for simulations of power and power electronics systems. In the proposed VBR model, the three-phase stator branches are represented by decoupled and constant R-L branches behind voltage sources, which provide a direct interface of the model with the external network-circuit. The rotor subsystem is expressed in the qd coordinates resulting in a high numerical efficiency. The VBR model has full-order and is otherwise algebraically equivalent to the classical qd model. We present case studies of induction machine interfaced with resistive and inductive networks. The studies show that the proposed model significantly improves the machine-network interface and enhances the numerical accuracy and efficiency as compared with the built-in SimPowerSystem qd machine model for the discretized solution of electrical circuit.
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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".