Research on Reheating Furnace Temperature Controller Parameters Tuning Based on MEA

被引：0
|
作者：
Sun, Jie [1 ]
Hu, Binnan [1 ]
机构：
[1] Hebei United Univ, Coll Elect Engn, Tangshan 063009, Hebei, Peoples R China
来源：
2012 2ND INTERNATIONAL CONFERENCE ON APPLIED ROBOTICS FOR THE POWER INDUSTRY (CARPI) | 2012年
关键词：
heating furnace; PID controller; Mind Evolutionary Algorithm; Fuzzy Neural Network;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Aiming at the characteristics of industrial heating furnace that large inertia, pure time-delay, parameters nonlinear and traditional PID controller is not easy to adjust the parameters; this paper proposes a method of reheating furnace temperature PID controller parameters self-setting based on MEA and Fuzzy Neural Network. The result of MATLAB simulation shows that PID controller based on MEA can get a better performance.
引用
收藏
页码：89 / 91
页数：3
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