基于灰色蚁群组合预测的生物质气化炉双闭环控制  

Double-loop Intelligent Control Based on Gray Ant Combination Prediction Algorithm for Biomass Gasifies

作　　者：刘辉[1] 庞佑霞[2] 唐勇[2] 梁亮[2] 

机构地区：[1]长沙学院电子与通信工程系,长沙410003 [2]长沙学院机电工程系,长沙410003

出　　处：《农业机械学报》2012年第1期94-100,共7页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家自然科学基金资助项目(50975032)

摘　　要：针对生物质气化炉处理过程中存在非线性、大时滞性、不稳定性和负荷干扰特点,提出了一种基于灰色蚁群组合预测双闭环控制算法。首先采用灰色算法建立气化炉温度预测模型,然后考虑可能的扰动,引入蚁群算法对灰色模型进行优化,在此基础上对炉温进行控制;最后引入基于变论域模糊控制算法,利用模糊规则对气化炉一次风量进行控制,在保证炉温稳定的情况下,降低可燃气体含氧量。仿真和现场运行结果表明了方法的有效性和先进性。The process of biomass gasify has the characteristics of nonlinear,large delay and strong load disturbance.For these features,a double-loop intelligent control based on gray ant combination prediction algorithm was presented.Firstly,the gray prediction algorithm was used to establish temperature model of gasifies.Secondly,considering possible disturbance,the ant algorithm was introduced to optimize the gray temperature model.The temperature sub-control system was based on the optimized gray temperature model.Finally,the variable universe fuzzy control algorithm was used in the oxygen content sub-control system.The gasify-air was controlled by the fuzzy rules in order to stabilize the temperature of gasifies,and reduce the oxygen content of the combustible gases.The validity and superiority was showed in the results of simulation and work site.

关 键 词：气化炉 灰色预测 蚁群算法 组合预测 变论域模糊控制 双闭环控制系统 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]