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作者:

Cui, Jing (Cui, Jing.) (学者:崔晶) | Yang, Xiaowen (Yang, Xiaowen.)

收录:

EI Scopus

摘要:

Iterative learning control (ILC) is an effective control tool to reduce systematic errors of the system that perform repetitive tasks. In this paper, based on the voice coil motor XY motion platform, we design a filter type ILC feedforward and feedback control structure to insure the robust stability and the tracking performance of the motion system. In the design of the control system, the concept like double closed loop control and zero phase error tracking control algorithm are being used. Both simulations and experiments show that with this control structure, a better dynamic and static performance is obtained, i.e., the maximum acceleration of the system up to 5g, maximum speed of 0.8m/s, after 4 times iterative learning, trajectory tracking error can be reduced to 0.003mm, High speed and high precision point to point control is realized. So ILC can be widely used in the field of motion system, especially for IC package, that repeatedly perform the same movement.

关键词:

Artificial intelligence Automation Closed loop control systems Electric machine control Feedback control Iterative methods Learning algorithms Learning systems Position control Process control Robust control Robustness (control systems) Speech recognition Systematic errors Two term control systems

作者机构:

  • [ 1 ] [Cui, Jing]Beijing University of Technology, China
  • [ 2 ] [Yang, Xiaowen]Beijing University of Technology, China

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来源 :

年份: 2012

期: 598 CP

卷: 2012

页码: 1276-1280

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

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