文章摘要
高梅,叶丹.基于免疫遗传算法优化的锅炉恒温水箱控制研究[J].井冈山大学自然版,2019,40(1):78-81
基于免疫遗传算法优化的锅炉恒温水箱控制研究
CONTROL OF BOILER CONSTANT TEMPERATURE WATER TANK BASED ON IMMUNE GENETIC ALGORITHM OPTIMIZATION
投稿时间:2018-09-29  修订日期:2018-08-19
DOI:10.3969/j.issn.1674-8085.2019.01.016
中文关键词: 免疫遗传算法  锅炉  恒温水箱  PID控制  优化
英文关键词: immune genetic algorithm  boiler  constant temperature water tank  pid control  optimization
基金项目:2016年安徽省教学研究重点项目(2016jyxm0460);2017年安徽省高校科学研究重点项目(KJ2017A650);2017年安徽文达信息工程学院校级重点项目(XZR2017A03);2018年安徽省高校科学研究重点项目(KJ2018A0614)
作者单位
高梅 安徽文达信息工程学院机电工程学院, 安徽, 合肥 230012 
叶丹 安徽文达信息工程学院机电工程学院, 安徽, 合肥 230012 
摘要点击次数: 10079
全文下载次数: 18384
中文摘要:
      为了维持锅炉恒温水箱的温度,采用改进PID控制方法,并对控制方法进行仿真。给出锅炉恒温水箱的工作原理,建立锅炉温度传递函数。引用PID控制方程式,采用免疫遗传算法优化PID控制参数,实现PID控制器参数实时优化,通过仿真验证优化后锅炉恒温水箱温度输出误差。结果表明:采用传统PID控制方法,恒温水箱温度输出误差最大值为5℃,误差波动幅度较大;采用神经网络PID控制方法,恒温水箱温度输出误差最大值为3℃,误差波动幅度幅度较小;而采用改进PID控制方法,恒温水箱温度输出误差最大值为1℃,误差波动幅度最小。采用免疫遗传算法优化PID控制参数,能够提高锅炉恒温水箱温度控制精度。
英文摘要:
      In order to maintain the temperature of the boiler constant temperature water tank, the improved PID control method is adopted and the control method is simulated. The working principle of the boiler constant temperature water tank is given and the temperature transfer function of the boiler is established. Using the PID control equation and immune genetic algorithm to optimize the parameters of the PID controller, the real-time optimization of the parameters of the PID controller is realized. The temperature output error of the optimized boiler constant temperature water tank is verified by simulation. The results show that the maximum error of constant temperature water tank temperature output is 5℃ and the error fluctuation range is larger by using traditional PID control method; the maximum error of constant temperature water tank temperature output is 3℃by using neural network PID control method, and the error fluctuation range is smaller; and the maximum error of constant temperature water tank temperature output is 1℃by using improved PID control method, and the error fluctuation range is the smallest. Using immune genetic algorithm to optimize PID control parameters can improve the temperature control accuracy of boiler constant temperature water tank.
查看全文   查看/发表评论  下载PDF阅读器
关闭