Temperature Estimation of PMSM Using a Difference-Estimating Feedforward Neural Network

Keeping the temperature of a permanent magnet synchronous machine (PMSM) in a safe range is essential for maintaining machine performance. In this paper, a feedforward neural network (FNN) for the temperature estimation of a PMSM is proposed. An FNN obtains the past temperature and operating conditi...

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Main Authors: Jun Lee, Jung-Ik Ha
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9141245/
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author Jun Lee
Jung-Ik Ha
author_facet Jun Lee
Jung-Ik Ha
author_sort Jun Lee
collection DOAJ
description Keeping the temperature of a permanent magnet synchronous machine (PMSM) in a safe range is essential for maintaining machine performance. In this paper, a feedforward neural network (FNN) for the temperature estimation of a PMSM is proposed. An FNN obtains the past temperature and operating condition values and gives the temperatures information at the next moment. Similar to a thermal-circuit-based model, the proposed model estimates the temperatures of multiple parts of interest with a heat point of view. The proposed FNN estimates the temperature differences, rather than the temperatures, and can enhance the learning and estimation performance of the FNN. Various FNN structures are compared, and the model generation steps are presented. For the experiments performed, where the temperature of the PMSM changes from 20 to 130 °C, the best FNN-based model showed closed-loop estimation errors less than 4.5 °C for the side of the permanent magnet and four parts on the winding, even in 2 hours of closed-loop estimation.
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spelling doaj.art-15e807fe96554ced937add5d7f868a4b2022-12-21T18:13:45ZengIEEEIEEE Access2169-35362020-01-01813085513086510.1109/ACCESS.2020.30095039141245Temperature Estimation of PMSM Using a Difference-Estimating Feedforward Neural NetworkJun Lee0https://orcid.org/0000-0002-5990-6769Jung-Ik Ha1https://orcid.org/0000-0002-5411-1414Department of Electrical and Computer Engineering, Seoul National University, Seoul, South KoreaDepartment of Electrical and Computer Engineering, Seoul National University, Seoul, South KoreaKeeping the temperature of a permanent magnet synchronous machine (PMSM) in a safe range is essential for maintaining machine performance. In this paper, a feedforward neural network (FNN) for the temperature estimation of a PMSM is proposed. An FNN obtains the past temperature and operating condition values and gives the temperatures information at the next moment. Similar to a thermal-circuit-based model, the proposed model estimates the temperatures of multiple parts of interest with a heat point of view. The proposed FNN estimates the temperature differences, rather than the temperatures, and can enhance the learning and estimation performance of the FNN. Various FNN structures are compared, and the model generation steps are presented. For the experiments performed, where the temperature of the PMSM changes from 20 to 130 °C, the best FNN-based model showed closed-loop estimation errors less than 4.5 °C for the side of the permanent magnet and four parts on the winding, even in 2 hours of closed-loop estimation.https://ieeexplore.ieee.org/document/9141245/Temperature estimationartificial neural networkNARXelectric machine protection
spellingShingle Jun Lee
Jung-Ik Ha
Temperature Estimation of PMSM Using a Difference-Estimating Feedforward Neural Network
IEEE Access
Temperature estimation
artificial neural network
NARX
electric machine protection
title Temperature Estimation of PMSM Using a Difference-Estimating Feedforward Neural Network
title_full Temperature Estimation of PMSM Using a Difference-Estimating Feedforward Neural Network
title_fullStr Temperature Estimation of PMSM Using a Difference-Estimating Feedforward Neural Network
title_full_unstemmed Temperature Estimation of PMSM Using a Difference-Estimating Feedforward Neural Network
title_short Temperature Estimation of PMSM Using a Difference-Estimating Feedforward Neural Network
title_sort temperature estimation of pmsm using a difference estimating feedforward neural network
topic Temperature estimation
artificial neural network
NARX
electric machine protection
url https://ieeexplore.ieee.org/document/9141245/
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AT jungikha temperatureestimationofpmsmusingadifferenceestimatingfeedforwardneuralnetwork