DocumentCode :
423907
Title :
A flux observe for vector control of an induction machine using fuzzy identification
Author :
Liu, Fu-cai ; Han, Hui-Shan ; Zuo, Li-Fan ; Wang, Zi-Yang
Author_Institution :
Dept. of Electr. Eng., Yanshan Univ., Qinhuangdao, China
Volume :
1
fYear :
2004
fDate :
26-29 Aug. 2004
Firstpage :
457
Abstract :
This work describes a novel flux estimation of a rotor flux oriented by the induction motor drive. A fuzzy modeling is used for flux vector estimation. For vector control (VC), it is necessary to know the instantaneous magnitude of the rotor flux. A method of fuzzy modeling can accurately estimate the rotor flux magnitude. It can estimate the flux response via the fuzzy model training. The accuracy of the present fuzzy modeling method for VC is shown by the simulation result. Our work indicates that the fuzzy modeling may be a feasible alternative to flux estimation method.
Keywords :
fuzzy control; induction motor drives; machine control; parameter estimation; rotors; vectors; flux estimation; flux observer; flux vector estimation; fuzzy identification; fuzzy model training; induction machine; induction motor drive; rotor flux; vector control; DC machines; Digital signal processing; Frequency; Fuzzy control; Induction machines; Induction motors; Machine vector control; Rotors; Stators; Virtual colonoscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
Type :
conf
DOI :
10.1109/ICMLC.2004.1380730
Filename :
1380730
Link To Document :
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