DocumentCode
1323178
Title
Decoupled stator-flux-oriented induction motor drive with fuzzy neural network uncertainty observer
Author
Lin, Faa-Jeng ; Wai, Rong-Jong ; Lin, Chih-Hong ; Liu, Da-Chung
Author_Institution
Dept. of Electr. Eng., Chung Yuan Christian Univ., Chung Li, Taiwan
Volume
47
Issue
2
fYear
2000
fDate
4/1/2000 12:00:00 AM
Firstpage
356
Lastpage
367
Abstract
A stator-flux-oriented induction motor drive using online rotor time-constant estimation with a robust speed controller is introduced in this paper. The estimation of the rotor time constant is made on the basis of the model reference adaptive system using an energy function. The estimated rotor time-constant is used in the current-decoupled controller, which is designed to decouple the torque and flux in the stator-flux-field-oriented control. Moreover, a robust speed controller, which is comprised of an integral-proportional speed controller and a fuzzy neural network uncertainty observer, is designed to increase the robustness of the speed control loop. The effectiveness of the proposed control scheme is demonstrated by simulation and experimental results
Keywords
control system analysis; control system synthesis; fuzzy control; fuzzy neural nets; induction motor drives; machine theory; machine vector control; neurocontrollers; observers; robust control; stators; two-term control; velocity control; control design; control performance; control simulation; decoupled stator-flux-oriented control; energy function; fuzzy neural network uncertainty observer; induction motor drive; integral-proportional speed controller; model reference adaptive system; online rotor time-constant estimation; robust speed controller; rotor time-constant; Adaptive systems; Fuzzy control; Fuzzy neural networks; Induction motor drives; Robust control; Rotors; Stators; Torque control; Uncertainty; Velocity control;
fLanguage
English
Journal_Title
Industrial Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0278-0046
Type
jour
DOI
10.1109/41.836351
Filename
836351
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