Offline artificial neural network rotor flux estimator for induction motor

Rotor flux is an important parameter in field-oriented control of induction motor (IM). It can be obtained through direct physical measurement at the air-gap or indirectly by using estimators. In this paper, the feedforward Artificial Neural Network (ANN) model for rotor flux estimation is proposed...

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Main Authors: Siti Nursyuhada, Mahsahirun, Zulkifli, Md Yusof, Nik Rumzi, Nik Idris
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2020
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/42436/1/Offline%20artificial%20neural%20network%20rotor%20flux%20estimator.pdf
http://umpir.ump.edu.my/id/eprint/42436/2/Offline%20artificial%20neural%20network%20rotor%20flux%20estimator%20for%20induction%20motor_ABS.pdf
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author Siti Nursyuhada, Mahsahirun
Zulkifli, Md Yusof
Nik Rumzi, Nik Idris
author_facet Siti Nursyuhada, Mahsahirun
Zulkifli, Md Yusof
Nik Rumzi, Nik Idris
author_sort Siti Nursyuhada, Mahsahirun
collection UMP
description Rotor flux is an important parameter in field-oriented control of induction motor (IM). It can be obtained through direct physical measurement at the air-gap or indirectly by using estimators. In this paper, the feedforward Artificial Neural Network (ANN) model for rotor flux estimation is proposed and analyzed. The network is trained using equivalent circuit model data and the Levenberg-Marquardt algorithm. The result shows that the proposed ANN rotor flux estimator is able to perform IM rotor flux estimation with 2.99e-05 MSE.
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language English
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spelling UMPir424362024-10-30T04:45:35Z http://umpir.ump.edu.my/id/eprint/42436/ Offline artificial neural network rotor flux estimator for induction motor Siti Nursyuhada, Mahsahirun Zulkifli, Md Yusof Nik Rumzi, Nik Idris T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures Rotor flux is an important parameter in field-oriented control of induction motor (IM). It can be obtained through direct physical measurement at the air-gap or indirectly by using estimators. In this paper, the feedforward Artificial Neural Network (ANN) model for rotor flux estimation is proposed and analyzed. The network is trained using equivalent circuit model data and the Levenberg-Marquardt algorithm. The result shows that the proposed ANN rotor flux estimator is able to perform IM rotor flux estimation with 2.99e-05 MSE. Institute of Electrical and Electronics Engineers Inc. 2020-09-26 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42436/1/Offline%20artificial%20neural%20network%20rotor%20flux%20estimator.pdf pdf en http://umpir.ump.edu.my/id/eprint/42436/2/Offline%20artificial%20neural%20network%20rotor%20flux%20estimator%20for%20induction%20motor_ABS.pdf Siti Nursyuhada, Mahsahirun and Zulkifli, Md Yusof and Nik Rumzi, Nik Idris (2020) Offline artificial neural network rotor flux estimator for induction motor. In: IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020. 2020 IEEE International Conference on Artificial Intelligence in Engineering and Technology, IICAIET 2020 , 26 - 27 September 2020 , Kota Kinabalu, Sabah. pp. 1-6. (9257845). ISBN 978-172816946-0 (Published) https://doi.org/10.1109/IICAIET49801.2020.9257845
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
Siti Nursyuhada, Mahsahirun
Zulkifli, Md Yusof
Nik Rumzi, Nik Idris
Offline artificial neural network rotor flux estimator for induction motor
title Offline artificial neural network rotor flux estimator for induction motor
title_full Offline artificial neural network rotor flux estimator for induction motor
title_fullStr Offline artificial neural network rotor flux estimator for induction motor
title_full_unstemmed Offline artificial neural network rotor flux estimator for induction motor
title_short Offline artificial neural network rotor flux estimator for induction motor
title_sort offline artificial neural network rotor flux estimator for induction motor
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
url http://umpir.ump.edu.my/id/eprint/42436/1/Offline%20artificial%20neural%20network%20rotor%20flux%20estimator.pdf
http://umpir.ump.edu.my/id/eprint/42436/2/Offline%20artificial%20neural%20network%20rotor%20flux%20estimator%20for%20induction%20motor_ABS.pdf
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