This paper describes a three-stage model predictive torque control method with sequential structure. The prediction trajectory of the torque and flux-linkage are extrapolated to two control instants. The first-stage selects alternative voltage vectors from all basic voltage vectors according to the torque prediction performance at the next one control instant, and the second-stage further reduces the range of candidate voltage vector by considering the whole prediction performance of the torque at next two control instants. Furthermore, the flux-linkage prediction performance at two control instants is evaluated in the third-stage to select an optimal vector voltage. Since three-stage prediction of the proposed method considers the comprehensive control performance of torque and flux-linkage at two control instants, the probability of adjacent periods with the same vector increases. Therefore, the switching frequency reduction of the inverter and improvement of the steady-state control performance are attained simultaneously in the proposed method. Ultimately, it is proved by comparative experiments.
Three-stage Series Model Predictive Torque Control for PMSM Drives
28.10.2022
672980 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Deadbeat Model Predictive Torque Control with Discrete Space Vector Modulation for PMSM Drives.
BASE | 2017
|Modulated Model Predictive Speed Control for PMSM Drives
IEEE | 2018
|