Machine Learning to optimize Permanent Magnet Synchronous Machines | IEEE Conference Publication | IEEE Xplore

Machine Learning to optimize Permanent Magnet Synchronous Machines


Abstract:

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) mo...Show More

Abstract:

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.
Date of Conference: 14-16 October 2020
Date Added to IEEE Xplore: 09 March 2021
ISBN Information:
Conference Location: Weihai, China

References

References is not available for this document.