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NMPC Application for PMSM Drive Control
Kozubík, Michal ; Blaha, Petr (referee) ; Václavek, Pavel (advisor)
This thesis focuses on the possibilities of application of nonlinear model predictive control for electric drives. Specifically, for drives with a permanent magnet synchronous motor. The thesis briefly describes the properties of this type of drive and presents its mathematical model. After that, a nonlinear model of predictive control and methods of nonlinear optimization, which form the basis for the controller output calculation, are described. As it is used in the proposed algorithm, the Active set method is described in more detail. The thesis also includes simulation experiments focusing on the choice of the objective function on the ability to control the drive. The same effect is examined for the different choices of the length of the prediction horizon. The end of the thesis is dedicated to the comparison between the proposed algorithm and commonly used field oriented control. The computational demands of the proposed algorithm are also measured and compared to the used sampling time.
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Application Of Nmpc For Pmsm Drive Control
Kozubík, Michal
This paper deals with the application of nonlinear model predictive control for permanent magnet synchronous motor drive control. The proposed algorithm is compared with well-known field oriented control with the focus on the ability of velocity and current control. Finally, computational demands of the proposed algorithm are discussed.
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NMPC Application for PMSM Drive Control
Kozubík, Michal ; Blaha, Petr (referee) ; Václavek, Pavel (advisor)
This thesis focuses on the possibilities of application of nonlinear model predictive control for electric drives. Specifically, for drives with a permanent magnet synchronous motor. The thesis briefly describes the properties of this type of drive and presents its mathematical model. After that, a nonlinear model of predictive control and methods of nonlinear optimization, which form the basis for the controller output calculation, are described. As it is used in the proposed algorithm, the Active set method is described in more detail. The thesis also includes simulation experiments focusing on the choice of the objective function on the ability to control the drive. The same effect is examined for the different choices of the length of the prediction horizon. The end of the thesis is dedicated to the comparison between the proposed algorithm and commonly used field oriented control. The computational demands of the proposed algorithm are also measured and compared to the used sampling time.
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