The development of speed sensor observer for induction motor by using adaptive Neuro Fuzzy with back propagation learning method

Author

Purwanto, E. ; Yukihiko, Sato ; Herry, P.M. ; Prabowo, Gigih

Author_Institution

Electron. Eng. Polytech. Inst. of Surabaya, ITS, Surabaya

fYear

2006

fDate

38869

Firstpage

787

Lastpage

792

Abstract

This paper proposed the simple method to develop observer for detects the speed of induction motor. Direct field-oriented induction motor drive system need rotor flux observer and rotor angular speed identifier. ANFIS is used for identifying parameter dynamics and system variable estimation, linear either non-linear. ANFIS with back propagation learning algorithm has applied to estimate flux rotor and identify rotor angular speed of three-phase induction motor. The simulation result is found good for the speed up to 200 rpm, and no good result for the speed less then 200 rpm

Keywords

adaptive control; angular velocity control; backpropagation; electric machine analysis computing; fuzzy neural nets; induction motor drives; inference mechanisms; machine control; magnetic flux; neurocontrollers; parameter estimation; ANFIS; adaptive neuro-fuzzy inference systems; back propagation learning method; direct field-oriented induction motor drive system; parameter dynamics identification; rotor angular speed identifier; rotor flux observer; speed sensor observer; system variable estimation; three-phase induction motor; Adaptive systems; Control systems; Equations; Inductance; Induction motors; Learning systems; Observers; Rotors; Stators; Training data;

fLanguage

English

Publisher

ieee

Conference_Titel

Properties and applications of Dielectric Materials, 2006. 8th International Conference on

Conference_Location

Bali

Print_ISBN

1-4244-0189-5

Electronic_ISBN

1-4244-0190-9

Type

conf

DOI

10.1109/ICPADM.2006.284296

Filename

4062785