[1]刘治华,黄玉峰,徐新伟.脊柱牵引设备控制方法及其实验研究[J].郑州大学学报(工学版),2014,35(02):112-115.[doi:10.3969/j.issn.1671-6833.2014.02.026]
　LIU Zhihua,HUANG Yufeng,XU Xinwei.The Control Method and Its Experimental Research for the Spinal Traction Device[J].Journal of Zhengzhou University (Engineering Science),2014,35(02):112-115.[doi:10.3969/j.issn.1671-6833.2014.02.026]
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脊柱牵引设备控制方法及其实验研究()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
35
期数:
2014年02期
页码:
112-115
栏目:
出版日期:
2014-04-30

文章信息/Info

Title:
The Control Method and Its Experimental Research for the Spinal Traction Device
作者:
刘治华; 黄玉峰; 徐新伟
Author(s):
LIU Zhihua;  HUANG Yufeng; XU Xinwei
School of Mechanical Engineering, Zhengzhou University , Zhengzhou 450001 , China
Keywords:
spinal traction;  servo-control system ;  neural network;  PlD control
DOI:
10.3969/j.issn.1671-6833.2014.02.026
文献标志码:
A
Abstract:
Spinal traction system is a non-linear and time-varying control system. In order to control the trae-tion foree aeeurately, the PlD neural network algorithm is put forward in this paper. Firstly, the prineiple olthe spinal traetion control system based on PlD neural network algorithm is introdueed. Then the strueture andthe initial values as well as the learning rule of the weights of the PlD) neural network are analyzed. Finally,the PlD) neural network was eompared with conventional PlD control under the different control eonditions inthe experiments. The experimental results showed that the PlD neural network had the property of high foreetraeking aeeuraey and anli-intererenee ability, as well as the beler adaplability to parameler change, com-pared with eonventional PlD control. The feasibility and eorreetness of the spinal traetion system and the eon-trol algorithm were verified.
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