Title :
A mechanical sensorless vector-controlled induction motor system with parameter identification by the aid of image processor
Author :
Chen, Shuo ; Tsuji, Mineo ; Hamasaki, Shin-ichi ; Motoo, Tatsunori
Author_Institution :
Dept. of E & E, Nagasaki Univ., Japan
Abstract :
This paper presents a mechanical sensorless vector-controlled system for induction motors with the assistance of an image processor. Based on the observer theory and the adaptive control theory, the proposed system includes a rotor speed estimator and stator resistance identifier using the flux errors and rotor resistance identifier using the speed error between the estimated speed and the calculated speed by the aid of image sensor. The effectiveness of the proposed system has been verified by digital simulation and experimentation.
Keywords :
adaptive control; digital simulation; image sensors; induction motors; machine vector control; observers; parameter estimation; rotors; stators; adaptive control theory; flux error; image processor; image sensor; mechanical sensorless vector-controlled system; observer theory; parameter identification; rotor resistance identifier; rotor speed estimator; speed error; stator resistance identifier; vector-controlled induction motor; Digital simulation; Error correction; Image processing; Image sensors; Induction motor drives; Induction motors; Machine vector control; Parameter estimation; Rotors; Stators;
Conference_Titel :
Industrial Electronics Society, 2004. IECON 2004. 30th Annual Conference of IEEE
Print_ISBN :
0-7803-8730-9
DOI :
10.1109/IECON.2004.1431739
