Application of adaptive neuro fuzzy inference system on the development of the observer for speed sensor less induction motor

Author

Purwanto, Era ; Arifin, Syamsul ; So, Bian-Sioe

Volume

1

fYear

2001

fDate

2001

Firstpage

409

Abstract

Direct field-oriented induction motor drive system need rotor flux observer and rotor angular speed identifier. ANFIS (adaptive neuro fuzzy inference system) used for identifying parameter dynamics and system variable estimation, linear or nonlinear. ANFIS with backpropagation learning algorithm has applied to estimate flux rotor and identify rotor angular speed of three-phase induction motor

Keywords

adaptive control; backpropagation; control system analysis; control system synthesis; fuzzy control; identification; induction motor drives; inference mechanisms; machine theory; machine vector control; magnetic flux; neurocontrollers; observers; rotors; variable speed drives; velocity control; adaptive neuro fuzzy inference system; backpropagation learning algorithm; direct field-oriented control; parameter dynamics identification; rotor angular speed identifier; rotor flux observer; speed sensorless control scheme; system variable estimation; three-phase induction motor; Adaptive systems; Equations; Feeds; Fuzzy systems; Induction motors; Observers; Rotors; Sensor systems and applications; Stators; Training data;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2001. Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology

Print_ISBN

0-7803-7101-1

Type

conf

DOI

10.1109/TENCON.2001.949625

Filename

949625