Model Predictive Control with Fixed Switching Frequency for Ac Motor Drives
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Model predictive control (MPC) is a control strategy that seems promising in the area of ac drives. In MPC, the model of the plant is used to predict its future behavior; the control action is determined based on the most desirable behavior of the system. MPC can be applied to multiple-input multiple-output (MIMO) systems and systems with switching nature, e.g. ac drives. Furthermore, limitations and restrictions can be implemented easily in the form of constraints. This thesis presents an MPC algorithm for motor control that can operate the power electronic converter at ﬁxed switching frequency. This is achieved despite the fact that the switches of the inverter are controlled directly. The performance of the proposed method is compared to other MPC algorithms as well as ﬁeld oriented control (FOC) with carrier-based pulse width modulation (CB-PWM). The method is able to outperform CB-PWM during transients, whereas the steady-state behavior is similar. The other MPC algorithms outperform the proposed method in terms of stator current total harmonic distortion (THD), but unlike the proposed method and CB-PWM, they do not produce a constant switching frequency.