Tolerant control for the web tension system

被引：0
作者：
Zhang, Zhihuan [1 ]
机构：
[1] Zhejiang Univ, Ningbo Inst Technol, Ningbo, Zhejiang, Peoples R China
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, VOLS 1-5 | 2007年
关键词：
Fault tolerant control; web tension system; Radial Basis Neural Network (RBNN); Fuzzy Basis Function Network;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The general fault-tolerant control method described in this article addresses process faults, which often affect highly web tension. After describing fault, a fault compensation method based on Fuzzy Basis Function Network was proposed. The simulation result shows that controlled output tension T with fault compensation is better, i.e. affected magnitude of the tension is less.
引用
收藏
页码：2138 / 2143
页数：6
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