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Low current ripple parameter‑free predictive current control of three‑level inverter‑fed PMSMs with current variations correction

  • Zinuo Wang (School of Electrical Engineering and Automation, Nantong University) ;
  • Feng Yu (School of Electrical Engineering and Automation, Nantong University) ;
  • Jin Zhang (College of Automation Engineering, Nanjing University of Aeronautics and Astronautics) ;
  • Xiaopeng Qin (Nantong Enove Precision Plastics Catheter Co., Ltd.)
  • Received : 2024.06.04
  • Accepted : 2024.12.23
  • Published : 2025.08.20

Abstract

An enhanced parameter-free predictive current control is proposed to address the shortcomings of conventional predictive current control, including weak parameter robustness and significant current ripple. It is implemented within a three-level inverter for driving permanent magnet synchronous motor (PMSM) systems. Initially, by virtue of a full-current-variation update technique, the future current can be predicted to facilitate the first applied vector, mitigating the impact of parameter mismatch. Subsequently, a current variations correction technique is employed to refine the predictive accuracy of future current, and the optimal duration is decided via the dead-beat principle. Furthermore, the second active vector is selected by an improved cost function, which incorporates considerations such as the pre-selection of voltage vectors and the neutral-point voltage constraint. Finally, experimental results have demonstrated the superiority of the proposed strategy in current ripple suppression along with its strong robustness against parameter mismatch.

Keywords

Acknowledgement

This work was supported in part by the National Natural Science Foundation of China (52177051), and Excellent Young Backbone Teacher of "Qinglan Project" of Jiangsu Colleges and Universities (2022).

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