Offline artificial neural network rotor flux estimator for induction motor

• 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; http://umpir.ump.edu.my/id/eprint/42436/; https://doi.org/10.1109/IICAIET49801.2020.9257845

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...