Adaptive Fuzzy Control for the Electric Furnace

被引：6

作者：

Teng, Fei ^{[1
]}

Li, Hongxing ^{[2
]}

机构：

[1] Beijing Univ Chem Technol, Coll Informat Sci & Technol, Beijing 100029, Peoples R China

[2] Beijing Union Univ, Coll Automat, Beijing 100101, Peoples R China

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 2 | 2009年

基金：

中国国家自然科学基金;

关键词：

Adaptive fuzzy control; electric furnace; temperature control;

D O I：

10.1109/ICICISYS.2009.5358363

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The electric furnace is a multi-variable nonlinear industrial complex plant It is very hard to give the exact mathematical model and to confirm parameters In this paper, the adaptive fuzzy control is applied into the temperature control of the electric furnace to avoid the influence of the inaccuracy of model In order to improve the limitation of the traditional fuzzy control, the fuzzy algorithm is used to online tune the three parameters of the traditional fuzzy control system Simulation experiment of the system applying the classic PID, traditional fuzzy control and the adaptive fuzzy control has been done. Simulation results show that system adopted adaptive fuzzy control has shorter settling time, smaller overshoot, faster rise time, good capacity of anti-disturbance and comparatively strong robustness

引用

页码：439 / +

页数：2

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