Analysis of grey prediction based iterative learning control

Wei, Lisheng, Fei, Minrui and Zhao, Wanqing ORCID: https://orcid.org/0000-0001-6160-9547 2008. Analysis of grey prediction based iterative learning control. Presented at: 2008 IEEE International Conference on Information and Automation, Zhangjiajie, China, 20-23 June 2008. Information and Automation, 2008. ICIA 2008. International Conference on. IEEE, pp. 1096-1100. 10.1109/ICINFA.2008.4608162

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Abstract

This paper presents a novel iterative learning control method based on the research of grey theory. The grey predictor is applied to extract key information and reduce the randomness of the measured non-stationary time series signals from sensors, and send the prediction information to the iterative learning controller. This design can not only reduce the trajectory tracking error of reference input but also improve the learning rate. The complete mathematical model is derived and the sufficient condition for convergence is given. At last, experimental results obtained from two plants show that the tracking accuracy is much improved when the proposed new method is applied.

Item Type:	Conference or Workshop Item (Paper)
Status:	Published
Schools:	Engineering
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Publisher:	IEEE
Last Modified:	02 Nov 2022 10:01
URI:	https://orca.cardiff.ac.uk/id/eprint/97190

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