This methodology demonstrates the creation of simulation models for induction motors, validating results against standardized tests, implying potential for more accurate predictions.
This paper presents a methodological framework for building a digital shadow of an induction motor based on standardized tests and a two‑axis (dq) simulation model. Tests were carried out according to IEEE Std 112 and IEC 60034‑2‑1 [10, 11]. Parameters of the equivalent circuit were identified and entered into the model. Validation was performed by comparing torque–speed and current–speed curves at 180 V and 220 V, while nominal behavior at 400 V was estimated using the model and voltage scaling. The model was then calibrated to reduce the discrepancy between simulation and measurements and the error was quantified using the root‑mean‑square error (RMSE) and mean absolute percentage error (MAPE). An automated load‑simulation setup that reproduces the torque test is also presented, enabling rapid evaluation of parameter influence. Results show a very good match in the current channel, with larger deviations in the prediction of characteristic torque points, indicating the limitations of linearized parameters and motivating nonlinear model extensions. The approach enables reliable estimates at nominal voltage when direct measurements are not feasible.
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Kurtović et al. (2025) studied this question.
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