现代电子技术2024，Vol.47Issue(19)：123-130,8.DOI:10.16652/j.issn.1004-373x.2024.19.019
基于ISSA-DELM算法的CSTR系统广义预测控制研究
CSTR system' generalized predictive control based on ISSA-DELM algorithm
摘要
Abstract
The continuously stirred tank reactor(CSTR),as a typical equipment used in chemical production of polymerization reaction,has strong nonlinearity,large lag and uncertainty during operation,so it is difficult to establish an accurate mathematical model with the traditional methods.In this paper,the Hammerstein-Wiener model is adopted according to a class of CSTR reaction processes,and the two nonlinear modules of the model are modeled by Gaussian radial basis function LS-SVM,and the established Hammerstein-Wiener model is used as the prediction model for generalized predictive control(GPC).For the rolling optimization of GPC,a hybrid optimization algorithm strategy based on deep extreme learning machine(DELM)which is optimized by multi-strategy improved sparrow search algorithm(ISSA)is adopted,and the superiority of the ISSA is tested by reference function.The hybrid optimization algorithm is applied to nonlinear CSTR objects.The experimental results show that the proposed hybrid optimization algorithm ISSA-DELM has a good control effect on CSTR system.The simulation results of the SSA-DELM algorithm and the DELM algorithm show that the control effect of the proposed algorithm is significantly better than those of the SSA-DELM algorithm and the traditional DELM algorithm.关键词
连续搅拌反应釜(CSTR)/Hammerstein-Wiener模型/广义预测控制(GPC)/改进麻雀算法(ISSA)/深度极限学习机(DELM)/高斯径向基函数Key words
CSTR/Hammerstein-Wiener model/GPC/ISSA/DELM/Gaussian radial basis function分类
信息技术与安全科学引用本文复制引用
盛斌,张军..基于ISSA-DELM算法的CSTR系统广义预测控制研究[J].现代电子技术,2024,47(19):123-130,8.基金项目
国家自然科学基金项目(61273190) （61273190）
