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Author:

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

Indexed by:

EI Scopus

Abstract:

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.

Keyword:

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

Author Community:

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

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Source :

Year: 2012

Issue: 598 CP

Volume: 2012

Page: 1276-1280

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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