摘要
针对制取二甲基亚砜过程中产生大量污染的问题,提出一种基于改进遗传算法的二甲基亚砜生产中的低污染控制过程设计方法.建立了低污染控制问题模型,引入惩罚函数法,对该模型进行约束,将二甲基亚砜污染残液污染浓度最小作为低污染最优控制目标函数,将下降搜索算法和改进遗传算法相结合,对低污染控制问题非线性数学模型进行寻优.结果表明,采用改进的控制模型可以有效降低二甲基亚砜生产过程中污染液的排放量.
In order to solve the problem that a lot of pollution is produced in the preparation process ofdimethyl sulfoxide, a design method for low pollution control process in the production of dimethylsulfoxide was proposed based on the improved genetic algorithm. In addition, the model for low pollutioncontrol problem was established, and the penalty function method was introduced to restrain the model. Theminimum residual liquid pollution concentration of dimethyl sulfoxide was taken as the objective function forthe optimal control of low pollution, and the drop search algorithm and improved genetic algorithm werecombined to optimize the nonlinear mathematical model for the low pollution control problem. The resultsshow that the improved control model can effectively reduce the discharge amount of pollution liquid in theproduction process of dimethyl sulfoxide.
出处
《沈阳工业大学学报》
EI
CAS
北大核心
2016年第5期597-600,共4页
Journal of Shenyang University of Technology
基金
国家985跨学科创新平台资助项目(0705-1)
关键词
二甲基亚砜
低污染控制
模型设计
梯度算法
非线性
约束条件
惩罚函数
目标函数
dimethyl sulfoxide
constraint condition
low pollution control
model design
penalty function
objective functiongradient algorithm
nonlinearity