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阳极焙烧燃油供给温度的模糊预测函数控制
引用本文:李晓斌,孙海燕,吴燕翔.阳极焙烧燃油供给温度的模糊预测函数控制[J].计算机工程与应用,2009,45(9):200-203.
作者姓名:李晓斌  孙海燕  吴燕翔
作者单位:上海海洋大学 工程学院,上海 200090
基金项目:国家科技攻关计划,上海海洋大学博士科研启动基金 
摘    要:阳极焙烧燃油供给温度的精确控制是一个具有非线性特性的流体加热供给控制问题,实际测试表明,现有的PID控制很难实现对燃油供给温度的动态跟踪控制,影响燃油的充分喷射、雾化及其与空气的混合,使部分燃油得不到充分燃烧,造成了能源浪费和环境污染。提出基于粒子群优化模糊预测函数控制(PSO-F-PFC)的油料燃烧供给温度控制方法,通过与PID控制方法的比较,以及对阳极焙烧炉重油燃烧供给温度的动态跟踪控制表明,该方法优于原有燃油燃烧系统的PID控制,实现了燃油供给温度的动态跟踪精确控制。

关 键 词:阳极焙烧  燃油供给温度  粒子群优化辨识与优化  模糊预测函数控制(F-PFC)  
收稿时间:2008-9-12
修稿时间:2008-11-14  

Dynamic tracking F-PFC of fuel oil feeding temperature for anode baking
LI Xiao-bin,SUN Hai-yan,WU Yan-xiang.Dynamic tracking F-PFC of fuel oil feeding temperature for anode baking[J].Computer Engineering and Applications,2009,45(9):200-203.
Authors:LI Xiao-bin  SUN Hai-yan  WU Yan-xiang
Affiliation:College of Engineering Science and Technology,Shanghai Ocean University,Shanghai 200090,China
Abstract:The accurate control of fuel oil feeding temperature is a nonlinear dynamic tracking control problem.In practice,the fuel oil feeding temperature accurate dynamic tracking control is very difficult by traditional PID controller.It induces that it is very difficult to eject atomization and combine with air for fuel oil.So part of fuel oil have not get sufficient combustion.It always leads to waste of fuel oil and environmental pollution.These problems are solved by Fuzzy predictive functional contro(lF-PFC) ...
Keywords:anode baking  fuel oil feeding temperature  partical swarm optimization identification and optimization  Fuzzy predictive functional control
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