Nonlinear golden-section adaptive speed control of permanent magnet synchronous motor

被引：0
|
作者：
Wang Y. [1 ]
Dou X.-H. [1 ,2 ]
Fang H. [2 ]
Luo S. [2 ]
机构：
[1] Department of Automation, University of Science and Technology of China, Hefei
[2] Department of Techniques, Jiuquan Satellite Launching Center, Lanzhou
来源：
Dou, Xiao-Hua | 1600年 / Editorial Department of Electric Machines and Control卷 / 21期
关键词：
Arranging the transient process; Characteristic model; Nonlinear golden-section adaptive control; Permanent magnet synchronous motors;
D O I：
10.15938/j.emc.2017.10.004
中图分类号：
学科分类号：
摘要：
Aiming at the complex system of permanent magnet synchronous motor(PMSM), it is relatively difficult to design a controller with high accuracy. Therefore, a predominantly nonlinear golden-section adaptive control scheme is designed by using the id=0 control strategy based on the characteristic model for the PMSM. The controller parameters on-line adaptive control was realized with the control scheme by arranging the transition process and characteristics of model parameter online identification. The proposed scheme can be implemented for the high precision speed control of permanent magnet synchronous motor through. Experimental results are given to illustrate that permanent magnet synchronous motor with the proposed scheme has more superior transient and steady-state performance compared with the first order active disturbance rejection control, the augmented state feedback control and traditional PI control. © 2017, Harbin University of Science and Technology Publication. All right reserved.
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页码：23 / 29
页数：6
相关论文
共 14 条
  • [1] Chen S., Zhang L., Application research about PID parameters optimization based on ant colony algorithm, Computer Simulation, 28, 1, (2011)
  • [2] Lin R., Chen S., Ding X., Modeling and simulation of neuron integral separated PID control for permanent magnet synchronous motor, Journal of Fuzhou University(Natural Science Edition), 37, 6, (2009)
  • [3] Mohamed Y.A.-R.I., Adaptive self-tuning speed control for permanent-magnet synchronous motor drive with dead time, IEEE Transactions on Energy Conversion, 21, 4, (2006)
  • [4] Song Y., Wang C., Yin W., Et al., Adaptive-learning control for permanent-magnet linear synchronous motors, Proceedings of the CSEE, 25, 20, (2005)
  • [5] Cheng K.Y., Tzou Y.Y., Fuzzy optimization techniques applied to the design of a digital PMSM servo drive, IEEE Transactions on Power Electronics, 19, 4, pp. 1085-1099, (2004)
  • [6] Liu M., Guo H., Shu J., Research of fuzzy self-tuning control system for PMSM based on SVPWM, Electric Power Science and Engineering, 29, 2, (2013)
  • [7] Liu J., Sun F., Research and development on theory and algorithms of sliding mode control, Control Theory & Applications, 24, 3, (2007)
  • [8] Liu Z., Wang J., Zhao J., Neural network adaptive sliding mode control for permanent magnet synchronous motor, Electric Machines and Control, 13, 2, (2009)
  • [9] Zhang X., Zhao K., Sun L., Et al., Sliding mode control of permanent magnet synchronous motor based on a novel exponential reaching law, Proceedings of the CSEE, 31, 15, (2011)
  • [10] Lei C., Wu J., Chen Y., Et al., Auto-distur-bance-rejection controller used in permanent-magnet linear motor control system, Control Theory & Applications, 22, 3, (2005)
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