Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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Double Vector Based Model Predictive Torque Control for SPMSM Drives with Improved Steady-State Performance

  • Zhang, Xiaoguang (Inverter Technologies Engineering Research Center of Beijing, North China University of Technology) ;
  • He, Yikang (Collaborative Innovation Center of Key Power Energy-Saving Technologies in Beijing, North China University of Technology) ;
  • Hou, Benshuai (Beijing Shougang International Engineering Technology Co., Ltd)
  • Received : 2017.12.15
  • Accepted : 2018.04.02
  • Published : 2018.09.20
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Abstract

In order to further improve the steady-state control performance of model predictive torque control (MPTC), a double-vector-based model predictive torque control without a weighting factor is proposed in this paper. The extended voltage vectors synthesized by two basic voltage vectors are used to increase the number of feasible voltage vectors. Therefore, the control precision of the torque and the stator flux along with the steady-state performance can be improved. To avoid testing all of the feasible voltage vectors, the solution of deadbeat torque control is calculated to predict the reference voltage vector. Thus, the candidate voltage vectors, which need to be evaluated by a cost function, can be reduced based on the sector position of the predicted reference voltage vector. Furthermore, a cost function, which only includes a reference voltage tracking error, is designed to eliminate the weighting factor. Moreover, two voltage vectors are applied during one control period, and their durations are calculated based on the principle of reference voltage tracking error minimization. Finally, the proposed method is tested by simulations and experiments.

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References

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