In this paper, we offer a possible approach to estimating motor parameters: Machine Learning. We begin with a simulation of a Permanent Magnet Synchronous Motor (PMSM) model using MATLAB and Simulink. We measure the voltage and current and then send the data to a machine learning model (TensorFlow). From there, we discuss the accuracy of the estimations and future stages of the project. We also use machine learning method to estimate position and speed.
Machine Learning to optimize Permanent Magnet Synchronous Machines
2020-10-14
409738 byte
Conference paper
Electronic Resource
English
Machine current limiting for permanent magnet synchronous machines
European Patent Office | 2020
|AC Machines: Permanent Magnet Synchronous and Induction Machines
Springer Verlag | 2021
|Scaling laws for synchronous permanent magnet machines
IEEE | 2015
|