基于自适应粒子群算法的隧道窑温度模糊控制策略  

Fuzzy control strategy for temperature in the tunnel kiln based on the adaptive particle swarm optimization algorithms

作　　者：贺文华[1] 李春生[2] 赵延明[3] 

机构地区：[1]湖南人文科技学院计算机科学系 [2]湖南大学电气与信息工程学院,湖南长沙410082 [3]湖南科技大学信息与电气工程学院,湖南湘潭411201

出　　处：《铁道科学与工程学报》2008年第2期92-96,共5页Journal of Railway Science and Engineering

基　　金：国防预研基金资助项目子项目(JLGZ03-2005-041);湖南省自然科学基金资助项目(06JJ5098)

摘　　要：针对隧道窑燃烧过程中的大惯性、纯滞后、多变量、时变参数以及工作机理复杂等特征,利用清晰集构造模糊集法确定模糊控制器输入量和输出量的隶属函数,并基于自适应粒子群算法给出了隧道窑新的温度模糊控制策略。运用模糊控制系统对隧道窑温度进行仿真研究和实时控制,结果表明,该模糊控制器能够克服许多干扰因素,具有良好的控制效果。Considering the characteristics of combustion process in the tunnel kiln such as big inertia, large time delay, nonlinearity, time - varying and strongly coupling, the membership functions of input variables and output variable of the fuzzy controller were determined with the method of constructing a fuzzy set by using clear sets. A new fuzzy control strategy was presented for the temperature in the tunnel kiln based on adaptive particle swarm optimization algorithms. The results of simulation and real time control for the temperature in the tunnel kiln show that the fuzzy controller has good control effect.

关 键 词：模糊控制 隧道窑 温度 自适应粒子群算法 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]