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
fDate :
4/1/2000 12:00:00 AM
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;
Journal_Title :
Industrial Electronics, IEEE Transactions on