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
14.10.2020
409738 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Machine current limiting for permanent magnet synchronous machines
Europäisches Patentamt | 2020
|AC Machines: Permanent Magnet Synchronous and Induction Machines
Springer Verlag | 2021
|Scaling laws for synchronous permanent magnet machines
IEEE | 2015
|