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Authors
Advisor(s)
Abstract(s)
In this work, a simplified finite set current
predictive control (FS-CPC) is presented for the synchronous
reluctance motor (SynRM) drive due to its fast response and
simplicity. However, the prediction model of this control is
obtained from a mathematical model of the motor which
contains many parameters, and thus any parametric
uncertainly might lead to inaccuracies of the predictive
algorithm. Therefore, the online identification of the stator
resistance, and inductances of the motor are implemented using
the recursive least square (RLS) technique. The identification
method is built in Matlab/Simulink, and the obtained simulation
results reveal its strong accuracy and effectiveness. Thus, the
estimation technique is seen as a good option to be selected and
combined with the simplified FS-CPC of the SynRM.
Description
Keywords
Synchronous reluctance motor drive recursive least square technique current predictive control
Citation
Publisher
Interdisciplinary Conference on Mechanics Computers and Electrics