钛坯天然气加热炉多工况炉温模糊优化控制  

Fuzzy optimization control in multi-operative statuses for natural gas reheating furnace of titanium

作　　者：吕燕[1,2] 吴敏[1] 雷琪[1] 聂卓赟[1] 

机构地区：[1]中南大学信息科学与工程学院,湖南长沙410083 [2]西安工程技术学院,陕西西安710065

出　　处：《化工学报》2011年第8期2140-2145,共6页CIESC Journal

基　　金：国家杰出青年科学基金项目(60425310)~~

摘　　要：针对脉冲燃烧方式的天然气加热炉所具有的典型分布参数特点,提出一种多工况炉温模糊优化控制策略。将加热炉不同段的炉温偏差和偏差变化率作为模糊推理的输入信息,对每一个炉温调整点设计一组二维模糊控制器;根据升温段和保温段这两种工况下的加热过程特点,分别设定模糊控制规则;基于变论域的思想,采用自适应变异差分进化算法,根据搜索进展情况自适应地确定变异率,通过构造动态适应度函数,使优化后的模糊控制达到满意程度。实际运行结果表明,本文所提方法能够较好地控制钛坯加热炉的炉温。A fuzzy optimization control strategy based on the property of distributed parameters is presented.Both the error of furnace temperature and its changing rates at different segments of the reheating furnace are used as the input of fuzzy logic,so that a group of 2-dimension fuzzy controller is designed with respect to every furnace temperature adjustment point.According to the features of two operative statuses,which are rising temperature segment and maintaining temperature segment,the fuzzy control rules are designed respectively.Based on the variable universe theory,an adaptive mutation differential evolution algorithm,in which the dynamic fitness function is constructed and the mutation probability is adaptively regulated according to the evolved generations,is applied to optimize the fuzzy controllers.The running results show that,the method proposed in this paper is good at controlling the temperature of titanium slab furnace.

关 键 词：钛坯天然气加热炉 分布模糊控制 多工况 差分进化算法 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]