Robust intelligent tuning of PID controller for multivarlable system using clonal selection and fuzzy logic

被引：0
|
作者：
Kim, DH [1 ]
机构：
[1] Hanbat Natl Univ, Dept Instrumentat & Control Engn, Taejon 305719, South Korea
来源：
KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 4, PROCEEDINGS | 2005年 / 3684卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper focuses on tuning of the PID controller using gain/phase margin, fuzzy logic, and immune algorithm for multivariable process. In industrial multivariable process, there is undesirable interaction between variables. Up to the present time, PID Controller has been widely used to control industrial process loops. However, it has also disadvantage without achieving an optimal PID gain with no experience. In this paper, the gains of PID controller based on coupling gain using fitness value of immune algorithm depending on error between optimal gain/phase margin is tuned by IM-FNN (immune based-Fuzzy Neural Network.
引用
收藏
页码：848 / 853
页数：6
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