Title :
General adaptation law for MRAS high performance sensorless induction motor drives
Author :
Griva, G. ; Profumo, F. ; Bojoi, R. ; Bostan, V. ; Cuius, M. ; Ilas, C.
Author_Institution :
Dip. Ing. Elettrica Ind. le, Politecnico di Torino, Italy
fDate :
6/23/1905 12:00:00 AM
Abstract :
This paper presents a new general adaptation law for sensorless vector control of induction motors using the model reference adaptive system (MRAS) approach with Luenberger observer. The method has been experimentally tested and compared with the classical adaptation mechanism at both low and high speed
Keywords :
induction motor drives; machine vector control; model reference adaptive control systems; observers; Luenberger observer; induction motors; model reference adaptive system; sensorless induction motor drives; sensorless vector control law; Adaptive systems; Equations; Induction motor drives; Induction motors; Lyapunov method; Sampling methods; Stability; Stators; Testing; Voltage;
Conference_Titel :
Power Electronics Specialists Conference, 2001. PESC. 2001 IEEE 32nd Annual
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7067-8
DOI :
10.1109/PESC.2001.954282
