A Robust Current Control Scheme for Five-Phase Permanent Magnet Synchronous Motor Based on Enhanced Disturbance Observer

被引:0
|
作者
Xiong C. [1 ,2 ]
Xu H. [2 ]
Guan T. [2 ]
Zhou P. [2 ]
机构
[1] University of Chinese Academy of Sciences, Beijing
[2] Key Laboratory of Power Electronics and Electric Drive, Institute of Electrical Engineering Chinese Academy of Sciences, Beijing
关键词
Enhanced disturbance observer; Five-phase permanent magnet synchronous motor; Harmonic disturbance; Proportional-integral (PI) control; Robustness;
D O I
10.19595/j.cnki.1000-6753.tces.181814
中图分类号
学科分类号
摘要
The dual synchronous rotating frame proportional integral (PI) control is most frequently employed in five-phase permanent magnet synchronous motor drives. However, its control performance is easily affected by disturbances such as parameter perturbation and inverter nonlinearity. Due to the limited bandwidth of the PI controller, there is usually a low-order harmonic current caused by the dead time of the inverter in the stator current. Therefore, this paper proposes a proportional integral control method based on the enhanced disturbance observer (EDOB-PI). The disturbances existing in the five-phase permanent magnet synchronous motor are classified and modeled. Then a disturbance observer is designed to observe the disturbance. Finally, the disturbance is compensated by the feed-forward channel. This method can improve parameter perturbation robustness and suppress low-order harmonic current caused by dead time and harmonic rotor permanent magnet flux. The experimental results have verified the proposed method. © 2020, Electrical Technology Press Co. Ltd. All right reserved.
引用
收藏
页码:1219 / 1230
页数:11
相关论文
共 33 条
  • [21] Liu D., Wu R., Zhang Y., Et al., Inverter dead time compensation of zero current clamping based on fuzzy control, Transactions of China Electrotechnical Society, 26, 8, pp. 119-124, (2011)
  • [22] Qiu T., Wen X., Zhao F., Adaptive-linear-neuron-based dead-time effects compensation scheme for PMSM drives, IEEE Transactions on Power Electronics, 31, 3, pp. 2530-2538, (2016)
  • [23] Chen W., Yang J., Guo L., Et al., Disturbance observer based control and related methods-an overview, IEEE Transactions on Industrial Electronics, 63, 2, pp. 1083-1095, (2016)
  • [24] Yang J., Chen W., Li S., Disturbance/uncertainty estimation and attenuation techniques in PMSM drives-a survey, IEEE Transactions on Industrial Electronics, 64, 4, pp. 3273-3285, (2017)
  • [25] Sariyildiz E., Ohnishi K., A guide to design disturbance observer based motion control systems, International Power Electronics Conference, pp. 2483-2488, (2014)
  • [26] Sariyildiz E., Ohnishi K., Stability and robustness of disturbance-observer-based motion control systems, IEEE Transactions on Industrial Electronics, 62, 1, pp. 414-422, (2015)
  • [27] Yi B., Kang L., Feng Z., Et al., Predictive current control for permanent magnet synchronous motor based on disturbance observer, Transactions of China Electrotechnical Society, 31, 18, pp. 37-45, (2016)
  • [28] Ren J., Ye Y., Xu G., Et al., Uncertainty and disturbance estimator based current control scheme for PMSM drives with a simple parameter tuning algorithm, IEEE Transactions on Power Electronics, 32, 7, pp. 5712-5722, (2017)
  • [29] Yang H., Zhang Y., Liang J., Et al., Robust deadbeat predictive power control with a discrete-time disturbance observer for PWM rectifiers under unbalanced grid conditions, IEEE Transactions on Power Electronics, 34, 1, pp. 287-300, (2019)
  • [30] Wang B., Dong Z., Yu Y., Et al., Static-errorless deadbeat predictive current control using second-order sliding-mode disturbance observer for induction machine drives, IEEE Transactions on Power Electronics, 33, 3, pp. 2395-2403, (2018)