Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
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Two-vector predictive current control strategy based on maximum torque per ampere control for PMSMs

  • Jin, Duo (School of Electrical and Electronic Engineering, Shandong University of Technology) ;
  • Zhang, Housheng (School of Electrical and Electronic Engineering, Shandong University of Technology) ;
  • Zhu, Shengjie (School of Electrical and Electronic Engineering, Shandong University of Technology) ;
  • Wang, Ao (School of Electrical and Electronic Engineering, Shandong University of Technology) ;
  • Jiang, Junjie (School of Electrical and Electronic Engineering, Shandong University of Technology)
  • Received : 2022.01.10
  • Accepted : 2022.04.10
  • Published : 2022.08.20
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Abstract

In permanent magnet synchronous motor systems with double closed-loop maximum torque current ratio control, a PI adjuster is used as the current inner ring. Unfortunately, the current may not be tracked effectively due to controller saturation when the load suddenly changes. To counteract this effect, a novel two-vector predictive current control strategy based on maximum torque current ratio control is proposed in this paper. The control strategy introduces the model predictive current control of two voltage vectors based on maximum torque per ampere control, which is acted upon by two voltage vectors in one control period. The second selected vector is no longer limited to the null vector. The orientation and amplitude of the synthesized virtual voltage vector are adjustable. Simulation results indicate that the proposed control method has the advantages of maximum torque per ampere control and model predictive control. It optimizes the stability of the system and reduces the fluctuation of the stator current.

Keywords

Acknowledgement

This work was supported by the Shandong Provincial Postgraduate Education Quality Improvement Program of China (Grant No. SDYKC21127) and the National Natural Science Foundation of China (Grant No. 62076152).

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