Interior permanent magnet synchronous motor dead-time compensation combined with extended kalman and neural network bandpass filter

被引：0
作者：
Zhu L. [1 ]
Xu B. [1 ]
Zhu H. [1 ]
机构：
[1] School of Electrical and Information Engineering, Jiangsu University, Zhenjiang
来源：
Xu, Ben (xu@163.com) | 1600年 / Electromagnetics Academy卷 / 98期
基金：
中国国家自然科学基金;
关键词：
Bandpass filters;
D O I：
10.2528/PIERM20100903
中图分类号：
学科分类号：
摘要：
In order to overcome the problem of high voltage loss rate caused by the increase of current harmonics due to dead-time effect and the decrease of average potential output of inverter in the control process of the interior permanent magnet synchronous motor (IPMSM) for electric vehicles, a dead-time compensation control method based on an extended Kalman filter (EKF) and a neural network bandpass filter (NNBPF) is proposed. Firstly, from the mechanism of dead-time effect, the problems and causes of dead-time effect are analyzed. Secondly, the extended Kalman filter combining feedback and prediction function is used to filter the d-and q-axis currents of the motor, so as to solve the problem that zero current polarity is difficult to judge in the traditional dead-time compensation process. Thirdly, the high-order harmonics due to dead-time effect in the d-and q-axis currents are extracted by using the neural network band-pass filter, and the dead-zone compensation is carried out after the amplitude phase adjustment. Finally, the effectiveness of the proposed dead zone compensation method is proved by comparing no dead-time compensation with the dead-time compensation strategy proposed in this paper. The experimental results show that the proposed dead-time compensation method can effectively suppress the current harmonics, reduce the current distortion, reduce the voltage loss rate to 0.04%, improve the voltage utilization ratio, and effectively improve the operating performance and endurance of electric vehicles. © 2020, Electromagnetics Academy. All rights reserved.
引用
收藏
页码：193 / 203
页数：10
相关论文
共 14 条
  • [1] Liu G.-H., Xu G.-H., Zhao W.-X., Et al., Improvement of torque capability of permanent-magnet motor by using hybrid rotor configuration, IEEE Transactions on Energy Conversion, 32, 3, (2017)
  • [2] Zhou H.-W., Lu Z., Zhao W.-X., Et al., Design and analysis of low-cost tubular fault-tolerant interior permanent-magnet motor, IEEE Transactions on Magnetics, 52, 7, pp. 1-4, (2016)
  • [3] Zhu X.-Y., Wu W.-Y., Yang S., Et al., Comparative design and analysis of new type of flux-intensifying interior permanent magnet motors with different Q-axis rotor flux barriers, IEEE Transactions on Energy Conversion, 33, 4, pp. 2260-2269, (2018)
  • [4] Wang S., Kang J.-S., Harmonic extraction and suppression method of permanent magnet synchronous motor based on adaptive linear neural network, Transactions of China Electrotechnical Society, 34, pp. 654-663, (2019)
  • [5] Qiu T., Wen X., Zhao F., Adaptive linear neuron based dead time effects compensation scheme, IEEE Transactions on Power Electronics, 31, 3, pp. 2530-2538, (2015)
  • [6] Huang Z.-B., You L.-R., Wang Z.-D., Wen X.-Q., A novel integrated PWM strategy considering dead-time and minimum pulse-width limitation, Transactions of China Electrotechnical Society, 29, 12, pp. 11-18, (2014)
  • [7] Qiao M.-Z., Xia Y.-H., Zhu P., Low-frequency oscillation restrain method of induction motor fed by inverter based on current close-loop and dead-time compensation, Transactions of China Electrotechnical Society, 29, 11, pp. 126-133, (2014)
  • [8] Tang Z., Bilal A., Suppression of dead-time distortion through revised repetitive controller in PMSM drives, IEEE Transactions on Energy Conversion, 32, 3, pp. 918-930, (2017)
  • [9] Rong Z.-L., Chen Q.-J., Torque ripple suppression method of PMSM based on ADRC with dead-time compensation, Control and Decision, 31, 4, pp. 667-672, (2016)
  • [10] Han K., Sun X., Liu B., Et al., Dead-time on-line compensation scheme of SVPWM for permanent magnet synchronous motor drive system with vector control, Proceeding of the CSEE, 38, 2, pp. 620-627, (2018)
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