When the traditional torque deadbeat model predictive control is used in the open-winding induction motor in common DC bus type, the influence of zero sequence current caused by common mode voltage need to be eliminated. Because of this, the amplitude and angle of the space voltage vectors is fixed, and the quantity of vectors is limited. These problems lead to significant torque ripple and speed fluctuation. Aiming at these problems, an improved torque deadbeat model predictive control strategy is proposed. Six space voltage vectors without effect of common mode voltage are expanded into twelve voltage vectors. According to the deadbeat tracking of the torque, the corresponding equivalent voltage are calculated. Then Lyapunov stability analysis and system cost function are used to get the optimal voltage vector. The duty cycle signal of the optimal voltage vector is processed and converted into switching signals which outputted to the inverter. Therefore, improvement on the control is achieved. Simulated and experimental results show that the motor’s torque pulsation, speed fluctuation and stator current harmonic are reduced effectively by this control strategy. The control performance is improved.

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Torque Deadbat Model Predictive Control for Open-Winding Induction Motor

  • Zhengyu Xue,
  • Chen Zhang,
  • Xu Sui,
  • Hongyu Ge,
  • Chidong Qiu

摘要

When the traditional torque deadbeat model predictive control is used in the open-winding induction motor in common DC bus type, the influence of zero sequence current caused by common mode voltage need to be eliminated. Because of this, the amplitude and angle of the space voltage vectors is fixed, and the quantity of vectors is limited. These problems lead to significant torque ripple and speed fluctuation. Aiming at these problems, an improved torque deadbeat model predictive control strategy is proposed. Six space voltage vectors without effect of common mode voltage are expanded into twelve voltage vectors. According to the deadbeat tracking of the torque, the corresponding equivalent voltage are calculated. Then Lyapunov stability analysis and system cost function are used to get the optimal voltage vector. The duty cycle signal of the optimal voltage vector is processed and converted into switching signals which outputted to the inverter. Therefore, improvement on the control is achieved. Simulated and experimental results show that the motor’s torque pulsation, speed fluctuation and stator current harmonic are reduced effectively by this control strategy. The control performance is improved.