An Improved Model Predictive Torque Control for DTP-PMSM Without Cost Function
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    Abstract:

    Aiming at the problem of poor torque performance of dual threephase permanent magnet synchronous motor (DTP-PMSM) traditional model predictive torque control strategy, a model predictive torque control without cost function strategy based on virtual voltage vectors is proposed. Firstly, the mathematical modeling method of vector space decomposition (VSD) is investigated, and the DTP-PMSM mathematical model is establish based on VSD. Secondly, a set of 12 virtual voltage vectors without vector replacement are constructed, and the angular position and magnitude information of the reference vector are predicted by dead-beat direct torque and flux control, and the optimal virtual vector with the angular position closest to the reference vector is filtered out, which avoids traversal of virtual voltage vectors to seek for the optimal and thus reduces the computational burden significantly. And at the same time, a simplified vector magnitude adjustment method is used to make the magnitude of the optimal vector infinitely close to the magnitude of the reference vector, which effectively reduces the torque pulsation. Finally, an experimental test platform is built to compare the proposed strategy with the traditional strategy. The results show that the proposed strategy effectively reduces the current harmonics and torque pulsations.

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ZHANG Pinghua, FAN Huiyan, WANG Shuang. An Improved Model Predictive Torque Control for DTP-PMSM Without Cost Function[J]. Electric Machines & Control Application,2024,51(5):30-38.

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History
  • Received:December 08,2023
  • Revised:January 30,2024
  • Adopted:
  • Online: May 28,2024
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