Abstract
The finite-control-set model predictive torque control (FCS-MPTC) can effectively reduce torque ripple by using discrete space vector modulation (DSVM) technology. However, a large computational burden is inevitable due to the increase in the number of candidate voltage vectors. In this paper, a model predictive torque control (MPTC) with reduced computation burden for permanent magnet synchronous motor (PMSM) is proposed. Firstly, the problems of traditional methods in reducing candidate vectors are analyzed. Then, the optimal voltage vector selection scheme is designed to reduce the candidate voltage vectors, so as to reduce the computational burden of the digital controller. The number of candidate vectors is reduced by defining a small subsector, where the reference vector is located. Finally, experimental tests are carried out to verify the effectiveness and feasibility of the proposed method.
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