DocumentCode
806353
Title
Vector approximation method with parameter adaptation and torque control of CSI-fed induction motor
Author
Ide, Kozo ; Bai, Zhi-Guo ; Yang, Zi-Jiang ; Tsuji, Teruo
Author_Institution
Dept. of Electr. Eng., Kyushu Inst. of Technol., Kitakyushu, Japan
Volume
31
Issue
4
fYear
1995
Firstpage
830
Lastpage
840
Abstract
The concept of the vector approximation method for CSI-fed induction motors consists of vector control and the shaping of a stator current wave. Vector approximation means that a desirable space current vector is approximated by two realizable current vectors which have only six directions, and by DC link current control. The main purpose of the vector approximation method is not only to decrease torque ripple but also to control instantaneous torque, which is different from the purpose of the general PWM method. Moreover, a parameter adaptation system containing a magnetic saturation table and a model reference adaptive system (MRAS) has been added to the system, and this system works at any constant flux level and the steady state. The simulation and experimental results show the proposed method bring more precise vector approximation and torque control to induction motor drive systems
Keywords
control system analysis; control system synthesis; electric current control; induction motor drives; invertors; machine control; machine testing; machine theory; model reference adaptive control systems; stators; torque control; vectors; CSI; DC link current control; MRACS; control design; experiments; induction motor drive; magnetic saturation table; model reference adaptive system; parameter adaptation; simulation; stator current wave shaping; torque control; vector approximation method; Adaptive systems; Approximation methods; Current control; Induction motors; Machine vector control; Magnetic flux; Pulse width modulation; Saturation magnetization; Stators; Torque control;
fLanguage
English
Journal_Title
Industry Applications, IEEE Transactions on
Publisher
ieee
ISSN
0093-9994
Type
jour
DOI
10.1109/28.395293
Filename
395293
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