化工学报2018，Vol.69Issue(3)：936-942,7.DOI:10.11949/j.issn.0438-1157.20171168
基于高斯模型的聚乙烯过程设计与控制集成优化
Simultaneous design and control of polyethylene process based on uncertainty Kriging model
摘要
Abstract
Ethylene polymerization process has strong nonlinearity and multiple metastable states, driven by interaction between mass and energy transfer as well as compounded effect of polymerization and transport. Traditional sequential method of process design and control optimization in polymerization process is not capable of providing sufficient control freedom, which high quality products are difficult to manufacture by relying solely on design controller because of disturbance and uncertainty of process parameters. A new approach was proposed to integrate steady state design and control optimization for stable production of high performance polyethylene. The surrogate model (Kriging model) was introduced to simultaneously predict model dynamics and uncertainty. Model uncertainty was feasible space region of uncertain parameters bounded by coefficient confidence. A design performance index was defined to quantitatively interpret impact of steady state design on closed-loop dynamic behavior at process design stage. Closed-loop operating variability was quantified by model predictive controller that was to ensure process operate close to constraints and cost function of MPC that was to penalize deviations of predicted control outputs from reference operating point. The proposed method has been illustrated with integrated optimization of process design and operation control in gas-phase ethylene polymerization and method effectiveness is verified by process simulation under parameter uncertainty and disturbance.关键词
优化设计/集成/不确定性/多重稳态/聚合物加工/Kriging模型/模型预测控制Key words
optimal design/integration/uncertainty/multiple steady states/polymer processing/Kriging model/model-predictive control分类
化学化工引用本文复制引用
王矿磊,谢磊,陈荣辉,苏宏业,王靖岱..基于高斯模型的聚乙烯过程设计与控制集成优化[J].化工学报,2018,69(3):936-942,7.基金项目
国家重点研发计划项目(2016YFB0303404) （2016YFB0303404）
国家自然科学基金创新研究群体项目(61621002).supported by the National Key Research and Development Plan(2016YFB0303404)and the Science Fund for Creative Research Groups of the National Natural Science Foundation of China(61621002). （61621002）
