Non-parametric induction motor rotor flux estimator based on feed-forward neural network

• Main Authors: Siti Nursyuhada, Mahsahirun, Nik Rumzi, Nik Idris, Zulkifli, Md. Yusof, Sutikno, Tole
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2022
• 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/42664/1/Non-parametric%20induction%20motor%20rotor%20flux%20estimator.pdf; http://umpir.ump.edu.my/id/eprint/42664/; https://doi.org/10.11591/ijpeds.v13.i2.pp1229-1237; https://doi.org/10.11591/ijpeds.v13.i2.pp1229-1237

The conventional induction motor rotor flux observer based on current model and voltage model are sensitive to parameter uncertainties. In this paper, a non-parametric induction motor rotor flux estimator based on feed-forward neural network is proposed. This estimator is operating without motor par...