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题名:
Optimal fuzzy PID controller with adjustable factors based on flexible polyhedron search algorithm
作者: Tan GZ(谭冠政); Xiao HF(肖宏峰); Wang YC(王越超)
作者部门: 机器人学研究室
关键词: optimal ; fuzzy inference ; PID controller ; adjustable factor ; flexible polyhedron search algorithm ; intelligent artificial leg
刊名: Journal of Central South University of Technology
ISSN号: 1005-9784
出版日期: 2002
卷号: 9, 期号:2, 页码:128-133
收录类别: SCI
产权排序: 2
摘要: A new kind of optimal fuzzy PID controller is proposed, which contains two parts. One is an on line fuzzy inference system, and the other is a conventional PID controller. In the fuzzy inference system, three adjustable factors x p, x i , and x d are introduced. Their functions are to further modify and optimize the result of the fuzzy inference so as to make the controller have the optimal control effect on a given object. The optimal values of these adjustable factors are determined based on the ITAE criterion and the Nelder and Mead′s flexible polyhedron search algorithm. This optimal fuzzy PID controller has been used to control the executive motor of the intelligent artificial leg designed by the authors. The result of computer simulation indicates that this controller is very effective and can be widely used to control different kinds of objects and processes.
语种: 英语
WOS记录号: WOS:000176606200013
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/7388
Appears in Collections:机器人学研究室_期刊论文

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Recommended Citation:
Tan GZ,Xiao HF,Wang YC. Optimal fuzzy PID controller with adjustable factors based on flexible polyhedron search algorithm[J]. Journal of Central South University of Technology,2002-01-01,9(2):128-133.
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