Title :
Model reference adaptive speed control for induction motor drive using neural networks
Author :
Shyu, Kuo-Kai ; Shieh, Hsin-Jang ; Fu, Sheng-Shang
Author_Institution :
Dept. of Electr. Eng., Nat. Central Univ., Chung-Li, Taiwan
fDate :
2/1/1998 12:00:00 AM
Abstract :
A model reference adaptive speed control scheme using neural networks is presented. The robust observer-based model reference tracking control technique is used to establish the training patterns. Then, the trained neural networks are used as an adaptive speed controller to robustly track a reference model for an induction motor drive
Keywords :
control system analysis; control system synthesis; induction motor drives; learning (artificial intelligence); machine control; machine theory; model reference adaptive control systems; neurocontrollers; observers; robust control; variable speed drives; velocity control; control design; control simulation; induction motor drive; model reference adaptive speed control; model reference tracking control technique; neural networks; robust observer; training patterns; Adaptive control; Control systems; Induction motor drives; Motor drives; Neural networks; Programmable control; Robust control; Target tracking; Uncertainty; Velocity control;
Journal_Title :
Industrial Electronics, IEEE Transactions on
