An Improved Sliding-Mode Repetitive Learning Control Scheme Using Wavelet Transform

被引：8
|
作者：
Lu, Yu-Sheng [1 ]
Wu, Bing-Xuan [2 ]
Lien, Shu-Fen [3 ]
机构：
[1] Natl Taiwan Normal Univ, Dept Mechatron Technol, Taipei 106, Taiwan
[2] Natl Yunlin Univ Sci & Technol, Dept Mech Engn, Yunlin 640, Taiwan
[3] MingDao Univ, Changhua 523, Taiwan
来源：
ASIAN JOURNAL OF CONTROL | 2012年 / 14卷 / 04期
关键词：
Sliding mode; repetitive learning control; wavelet transform;
D O I：
10.1002/asjc.433
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents an enhanced sliding-mode repetitive learning control (SMRLC) scheme using the wavelet transform. Distinct from previous wavelet transform-based repetitive control schemes, the proposed SMRLC learns from a switching signal that is equivalent to the compensation error of the SMRLC, thereby speeding up the learning process. The wavelet analysis is employed to decompose the switching signal, capture its low-frequency components effectively, and synthesize a de-noised, high-scale signal for the learning process. Experimental study on a directly driven Hoekens straight-line mechanism is conducted, and the proposed wavelet transform-based SMRLC is experimentally compared with a Fourier series-based SMRLC. Copyright (c) 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society
引用
收藏
页码：991 / 1001
页数：11
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