DocumentCode :
54293
Title :
A Comparison of Model Predictive Control Schemes for MV Induction Motor Drives
Author :
Scoltock, James ; Geyer, Tobias ; Madawala, Udaya K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Auckland, Auckland, New Zealand
Volume :
9
Issue :
2
fYear :
2013
fDate :
May-13
Firstpage :
909
Lastpage :
919
Abstract :
In medium-voltage (MV) drives, the switching frequency is limited to a few hundred Hz, for which high-performance control and modulation schemes are necessary to maintain acceptable current and torque distortion. Forced machine current control (FMCC) is a predictive control strategy for MV drives which was proposed in the early 1980s, which can be formulated for either torque or current control. Recently, model predictive direct torque control (MPDTC) and model predictive direct current control (MPDCC) have been developed, sharing with FMCC the use of hysteresis bounds, switching and prediction horizons. However, the relative performances of these schemes are yet to be compared. Through simulation, this paper compares the schemes across a range of operating points. It is shown that the steady-state performance of MPDxC and FMCC is similar when the switching horizon of MPDxC is limited. However, when the switching horizon is extended, the performance of MPDxC is shown to be superior to FMCC, the horizon of which is inherently restricted.
Keywords :
electric current control; induction motor drives; machine control; predictive control; torque control; MPDCC scheme; MPDTC scheme; MV induction motor drives; forced machine current control; high-performance control scheme; hysteresis bounds; medium-voltage drives; model predictive direct current control scheme; model predictive direct torque control scheme; modulation schemes; switching frequency; switching horizon; torque control; torque distortion; Electromagnetics; Hysteresis; Predictive models; Rotors; Stators; Switches; Torque; Current control; medium-voltage drives; model predictive control; torque control;
fLanguage :
English
Journal_Title :
Industrial Informatics, IEEE Transactions on
Publisher :
ieee
ISSN :
1551-3203
Type :
jour
DOI :
10.1109/TII.2012.2223706
Filename :
6328273
Link To Document :
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