Finite Control Set Model Predictive Speed Control of a DC Motor

Abstract EN

The paper describes the design procedure for a finite control set model predictive control (FCS-MPC) of brushed permanent magnet DC (PMDC) machine supplied from DC-DC converter.

Full order linear Kalman filter is used for estimation of an unmeasured load torque and reduction of speed measurement noise.

A new cost function has been introduced with a feedforward dynamic current component and a feedforward static load current component.

The performance of the proposed control strategy is compared to the conventional PI-PWM cascade speed control through the experimental verification on the 250 W laboratory prototype.

Obtained results show excellent dynamic behaviour and indicate possible energy savings of the proposed speed control.