A neuron PID controller with fuzzy gain scheduling and its applications in electrohydraulic velocity servosystems

被引：0
|
作者：
Tao, Jili [1 ]
Wang, Ning [1 ]
机构：
[1] Zhejiang Univ, Inst Adv Proc Control, Natl Lab Ind Control Technol, Hangzhou 310027, Peoples R China
来源：
DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS | 2006年 / 13E卷
关键词：
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
A neuron PID controller with fuzzy gain scheduling is proposed for an electrohydraulic velocity control system with bound disturbances and uncertainties. In the intelligent PID control system, the neuron and the fuzzy schemes are used to tune PID gains on-line according to the dynamics of the plant. The stability is analyzed in terms of Kharitonov theorem, and the simulation results show the good performances of the proposed neuron PID controller.
引用
收藏
页码：1747 / 1752
页数：6
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