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Proceedings Paper

An optimal design of open-and-close-loop PID-type ILC algorithm
Author(s): Jinxue Xu; Lili Sun; Tianyou Cai
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Paper Abstract

Iterative learning control (ILC for short) is a simple and effective method for the control of systems that perform the same task repetitively. ILC algorithm uses the repetitiveness of the task to track the desired trajectory. In this paper, we assume that a measured finite impulse response series of the plant to be controlled are available. We propose an optimal design method of PID (proportional plus integral and derivative tracking error) type ILC update law, and a current cycle error assisted open ILC scheme is presented which is also called open and close loop PID type algorithm. By adding close loop scheme, the whole algorithm has better performance both in stability and convergence than the open loop one alone. The using of current iteration tracking error (CITE) also helps to get faster convergence rate. Furthermore, the effectiveness of the proposed method is illustrated by introducing some simulation experiments.

Paper Details

Date Published: 2 September 2003
PDF: 5 pages
Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); doi: 10.1117/12.522077
Show Author Affiliations
Jinxue Xu, Shenyang Univ. of Technology (China)
Lili Sun, Shenyang Univ. of Technology (China)
Tianyou Cai, Northeastern Univ. (China)


Published in SPIE Proceedings Vol. 5253:
Fifth International Symposium on Instrumentation and Control Technology
Guangjun Zhang; Huijie Zhao; Zhongyu Wang, Editor(s)

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