辽宁石油化工大学学报2025，Vol.45Issue(4)：80-88,9.DOI:10.12422/j.issn.1672-6952.2025.04.010
基于SEN框架的间歇过程生产调度与显式模型预测控制集成优化
Integrated Optimization of Production Scheduling and Explicit Model Predictive Control for Batch Process Based on SEN Framework
摘要
Abstract
Synchronous method is used to establish an integrated model for batch process production scheduling and control.In the scheduling section,a production scheduling model is established based on the State Equipment Network(SEN)and the unit-specific event-based continuous time modeling method;the integrated model of scheduling and control belongs to a mixed integer dynamic optimization problem,and solving it requires a large amount of complex computation,in order to alleviate the burden of online computing,Explicit Model Predictive Control(EMPC)is utilized for offline solving;the MPT toolbox is used to solve the dynamic problem of EMPC;introducing binary variables,converting the obtained explicit control solution into explicit linear constraints,and adding them to the common constraint objective in the scheduling model;through case analysis,the optimization results were compared and analyzed with the pure scheduling model,and the economic feasibility of the integrated model is verified.关键词
间歇过程生产调度/状态设备网络/集成模型/显式模型预测控制Key words
Scheduling of batch process/State equipment network/Integrated model/Explicit model predictive control分类
机械制造引用本文复制引用
王越,郭小晖,金雨婷,金鑫..基于SEN框架的间歇过程生产调度与显式模型预测控制集成优化[J].辽宁石油化工大学学报,2025,45(4):80-88,9.基金项目
辽宁省教育厅基本科研面上项目(LJKZ0400). （LJKZ0400）
