Offline artificial neural network rotor flux estimator for induction motor

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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Bibliographic Details
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:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
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

Internet

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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