基于遗传算法和模糊理论的循环流化床锅炉燃烧控制研究  

Research on Circulating Fluidized Bed Boiler Combustion Control Based on Genetic Algorithms and Fuzzy Theory

作　　者：张小桃[1] 郝欲明 张磊洋[1] 

机构地区：[1]华北水利水电大学电力学院,河南郑州450045

出　　处：《锅炉技术》2014年第5期36-40,共5页Boiler Technology

基　　金：河南省教育厅自然科学研究计划项目(2011A140014);河南省科技发展计划(112102210281)

摘　　要：为改善对循环流化床锅炉燃烧过程的控制品质,提出了一种循环流化床燃烧模糊控制方案,并基于遗传算法对模糊控制规则进行了优化研究。仿真结果表明:通过与传统的模糊控制比较,基于遗传算法优化后的循环流化床锅炉燃烧模糊控制系统的控制效果在超调量、调节时间等动态特性方面优于优化前的模糊控制系统,控制品质令人满意。In order to improve control quality for the combustion process of CFBB, a fuzzy control scheme for circulating fluidized bed combustion system was designed and a fuzzy control scheme is optimized based on genetic algorithms. Compared with the traditional fuzzy control, simulation results show that control qualities of the optimized fuzzy control based on genetic algorithms in circulating fluidized bed boiler combustion system is better than those of the conventional control scheme in some respects, such as overshoot and setting time.

关 键 词：循环流化床锅炉 燃烧系统 模糊控制 遗传算法 仿真研究 

分 类 号：TK223.7[动力工程及工程热物理—动力机械及工程]