Machine learning based estimator is developed to predict the rotor position of an electrical machine. The estimator requires only the phase currents to be measured. An off-line training makes the model learn to associate rotor position to each instantaneous current measurement.
A novel rotor position estimator for an interior permanent magnet synchronous motor based on Machine learning-based neural networks algorithm, which covers ...
Machine learning based estimator is developed to predict the rotor position of an electrical machine. The estimator requires only the phase currents to be ...
Sep 12, 2021 · In this paper, a recurrent neural network (RNN) based phase detection method is used for rotor position estimation of PMSM.
Machine learning based estimator is developed to predict the rotor position of an electrical machine. The estimator requires only the phase currents to be ...
The model enables you to use either the trained neural network or the quadrature encoder sensor to obtain the rotor position. As shown in the figure, the neural ...
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Mar 14, 2022 · This article discusses a machine learning technique for estimating rotor positions. The proposed machine learning observer was constructed using a modified ...
A novel rotor position estimator for an interior permanent magnet synchronous motor based on Machine learning-based neural networks algorithm, which covers ...
In general the rotor position/speed is measured using a position transducer like hall sensors or dedicated sensors like encoders/resolvers. By knowing the rotor ...
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Why is rotor position important?
What are estimators in machine learning?
In this study, machine learning (ML) based methods are used to estimate rotor mechanical speed of brushless direct current (BLDC) motors.