Design of Temperature Control System Using Conventional PID and Intelligent Fuzzy Logic Controller

被引：0
|
作者：
Mugisha, Jean Claude [1 ]
Munyazikwiye, Bernard [2 ]
Karimi, Hamid Reza [2 ]
机构：
[1] Univ Rwanda, Kigali, Rwanda
[2] Univ Agder, Fac Sci & Engn, Dept Engn, Grimstad, Norway
来源：
2015 INTERNATIONAL CONFERENCE ON FUZZY THEORY AND ITS APPLICATIONS (IFUZZY) | 2015年
关键词：
Temperature; Fuzzy Logic; PID; Controller; Furnace;
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：
In this paper, we present the design of temperature control for industrial heat treating furnace by using Intelligent Fuzzy Logic and PID controllers. Temperature control is important in heating processes as it can disqualify materials in terms of their physical properties when not well performed. Obviously PID temperature controller is the most used in industries to control non-linear processes. Consequently, it has been found that the output response from Fuzzy Logic is very accurate in terms of overshoot and steady state error when compared to that of PID. Moreover, both temperature controllers are modeled and simulated using MATLAB software.
引用
收藏
页码：50 / 55
页数：6
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