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

页码：89 / 91

页数：3

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