Robust model predictive current control for six‑phase PMSMS with virtual voltage vectors

Ming Yao; Jingyao Peng; Xiaodong Sun

Robust model predictive current control for six‑phase PMSMS with virtual voltage vectors

Ming Yao

Jingyao Peng

Xiaodong Sun

Vol. 22, No. 11, pp. 1885-1896, Nov. 2022

10.1007/s43236-022-00496-w

Model predictive current control

Virtual voltage vectors

Six-phase permanent magnet synchronous motor

Extended state observer

Abstract

In this paper, a compensation prediction model current control based on the extended state observer is proposed for the static errors and oscillations of output current caused by parameter disturbance deviations. First, the parameter change part is regarded as the total disturbance, and a mathematical model of the motor is established. Then, virtual voltage vectors are introduced to eliminate the eff ect of leakage inductance mismatch and to further suppress current harmonics. Furthermore, the state observer is designed to estimate disturbances and currents. The estimated values from the state observer are used as the feedforward part to cancel disturbances in the system. Then, the stability of the proposed algorithm is verified by a pole confi guration analysis. Finally, the eff ectiveness of the proposed method is confi rmed by a six-phase permanent magnet synchronous hub motor experiment.

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Cite this article

[IEEE Style]

M. Yao, J. Peng, X. Sun, "Robust model predictive current control for six‑phase PMSMS with virtual voltage vectors," Journal of Power Electronics, vol. 22, no. 11, pp. 1885-1896, 2022. DOI: 10.1007/s43236-022-00496-w.

[ACM Style]

Ming Yao, Jingyao Peng, and Xiaodong Sun. 2022. Robust model predictive current control for six‑phase PMSMS with virtual voltage vectors. Journal of Power Electronics, 22, 11, (2022), 1885-1896. DOI: 10.1007/s43236-022-00496-w.