Title :
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
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;
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
DOI :
10.1109/ICPADM.2006.284296
