A Neuro-fuzzy approach for stator resistance estimation of induction motor

Author

Jaalam, N. ; Haidar, A.M.A. ; Ramli, N.L. ; Ismail, N.L. ; Sulaiman, A.S.M.

Author_Institution

Fac. of Electr. & Electron. Eng., Univ. Malaysia Pahang, Kuantan, Malaysia

fYear

2011

fDate

21-22 June 2011

Firstpage

394

Lastpage

398

Abstract

An accurate estimation of stator resistance is very important especially during operation of an induction motor due to variation in the stator resistance and temperature of the working machine. This paper proposes a Neuro-fuzzy Technique (NFT) for an online estimation of the stator resistance under steady state operating conditions of an induction motor. The proposed technique is compared with the Proportional Integral (PI) estimator to see the effectiveness. The obtained results of applying the NFT for resistance estimation give better performance and high robustness than those obtained by the application of PI.

Keywords

electric machine analysis computing; fuzzy neural nets; fuzzy reasoning; induction motors; stators; NFT; induction motor; neurofuzzy technique; proportional integral estimator; stator resistance estimation; Estimation; Fuzzy logic; Induction motors; Resistance; Rotors; Stator windings; PI estimator; induction motor; neuro-fuzzy; stator resistance;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical, Control and Computer Engineering (INECCE), 2011 International Conference on

Conference_Location

Pahang

Print_ISBN

978-1-61284-229-5

Type

conf

DOI

10.1109/INECCE.2011.5953913

Filename

5953913