DocumentCode
2089226
Title
MRAS-based speed sensorless control for induction motor drives using instantaneous reactive power
Author
Ta, Cao-Minh ; Uchida, Toshiyuki ; Hori, Yoichi
Author_Institution
Dept. of Electr. Eng., Tokyo Univ., Japan
Volume
2
fYear
2001
fDate
2001
Firstpage
1417
Abstract
MRAS-based techniques are one of the best methods to estimate the rotor speed due to its performance and straightforward stability approach. The adjusting signal driving the adaptation mechanism may be a function of the flux, of the back EMF, or of the outer product of stator current and the back EMF. Each technique has advantages and drawbacks. In this paper, the authors propose a MRAS based speed estimation scheme for IM drives using instantaneous reactive power. First, a function equivalent to the instantaneous reactive power of the system is employed and the error between its measured value and the estimated one is then utilized in the speed adaptation mechanism. The design of the adaptation mechanism and some basic experimental results are presented and discussed. The technique has a superior robustness to the parameter variations as compared to other MRAS-based techniques proposed in literature
Keywords
control system synthesis; induction motor drives; machine testing; machine theory; machine vector control; model reference adaptive control systems; parameter estimation; robust control; stators; velocity control; MRACS-based speed sensorless control; back EMF; control design; control performance; induction motor drives; instantaneous reactive power; parameter variations; robustness; rotor speed estimation; speed adaptation mechanism; stability approach; stator current; DC motors; Electric vehicles; Induction motor drives; Machine vector control; Mechanical sensors; Reactive power; Reactive power control; Sensorless control; Stability; Stators;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, 2001. IECON '01. The 27th Annual Conference of the IEEE
Conference_Location
Denver, CO
Print_ISBN
0-7803-7108-9
Type
conf
DOI
10.1109/IECON.2001.975989
Filename
975989
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