大连理工大学学报2025，Vol.65Issue(3)：235-242,8.DOI:10.7511/dllgxb202503003
生活垃圾焚烧智能控制方法研究
Research on intelligent control method of domestic waste incineration
摘要
Abstract
Incineration has become the main treatment technology of domestic waste because of its advantages in capacity reduction,quantity reduction,energy recycling and utilization.In order to solve the problem of difficult adjustment of multiple operating parameters in the process control of domestic waste incineration,machine learning(ML)is used to perform high-precision nonlinear mapping of operating parameters and control variables in the process of waste incineration,so as to achieve the purpose of automatically and quantitatively adjusting operating parameters according to the requirements of control variables.Neural network and fuzzy inference system algorithm are used to construct the fitting control model.Based on training and validation with the simulation data of waste incineration in Aspen Plus,the obtained optimal model is SC-ANFIS.The determination coefficients(R2)of the prediction results of waste feeding amount,air supply,ammonia water dosage and calcium hydroxide solution dosage are 0.832 2,0.996 5,0.995 7 and 0.999 4 respectively,and the mean absolute percentage errors(MAPE)are 2.133 0％,0.683 5％,1.878 2％and 0.640 0％respectively.Therefore,the model can be applied to the control of domestic waste incineration process to improve the accuracy and automation of waste incineration control.关键词
生活垃圾焚烧/神经网络/模糊推理系统/自动控制Key words
domestic waste incineration/neural network/fuzzy inference system/automatic control分类
环境科学引用本文复制引用
丁海霞,李爱民,刘传群..生活垃圾焚烧智能控制方法研究[J].大连理工大学学报,2025,65(3):235-242,8.基金项目
辽宁省兴辽英才计划资助项目(XLYC2008012). （XLYC2008012）
