'Institute of Electrical and Electronics Engineers (IEEE)'
Abstract
INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY () (.2009.VICTORIA, AUSTRALIA)Model Predictive Control with a finite control set has
emerged as a promising control tool for power converters and
drives. One of the major advantages is the possibility to control
several system variables with a single control law, by including
them with appropriate weighting factors. However, at the present
state of the art, these coefficients are determined empirically.
There is no analytical or numerical method proposed yet to obtain
an optimal solution. In addition, the empirical method is not
always straightforward, and no procedures have been reported.
This paper presents a first approach to a set of guidelines
that reduce the uncertainty of this process. First a classification
of different types of cost functions and weighting factors is
presented. Then the different steps of the empirical process are
explained. Finally, results for several power converters and drives
applications are analyzed, which show the effectiveness of the
proposed guidelines to reach appropriate weighting factors and
control performance
