A fast method for online closed-loop system identification

被引：0
|
作者：
Zhou, Yunfei [1 ]
Han, Aiguo [1 ]
Yan, Sijie [1 ]
Chen, Xuedong [1 ]
机构：
[1] National Numerical Control System Engineering Research Center, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
来源：
International Journal of Advanced Manufacturing Technology | 2006年 / 31卷 / 1-2期
关键词：
In the modern control schemes broadly applied presently in the servo drive system of machine tools; the sampling frequency has been growing larger and larger becomes higher and higher; so it is important to keep up-to-date with the variance of the actual system parameters. As a solution to the problem; a novel method developed from the recursive extended least squares (RELS) algorithm in terms of the computation of functions; operates in such a way that the parameters of the system model are revised only when several proper new groups of data are obtained. The simulation and experimentation of online direct closed-loop system identification indicate that; by selecting the updating step; this method is able to effectively cut down the identifying cost time while obtaining satisfactory accuracy of estimation. © Springer-Verlag London Limited 2006;
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摘要：
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页码：78 / 84
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