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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Format: | Conference or Workshop Item |
Language: | English English |
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Institute of Electrical and Electronics Engineers Inc.
2020
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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. |
first_indexed | 2024-12-09T02:30:12Z |
format | Conference or Workshop Item |
id | UMPir42436 |
institution | Universiti Malaysia Pahang |
language | English English |
last_indexed | 2024-12-09T02:30:12Z |
publishDate | 2020 |
publisher | Institute of Electrical and Electronics Engineers Inc. |
record_format | dspace |
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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