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  • ISSN 1006-3080
  • CN 31-1691/TQ

基于改进狼群算法的甲醇合成塔转化率机理建模及参数估计

俞灵杰 张凌波 顾幸生

俞灵杰, 张凌波, 顾幸生. 基于改进狼群算法的甲醇合成塔转化率机理建模及参数估计[J]. 华东理工大学学报(自然科学版), 2017, (6): 815-823,889. doi: 10.14135/j.cnki.1006-3080.2017.06.010
引用本文: 俞灵杰, 张凌波, 顾幸生. 基于改进狼群算法的甲醇合成塔转化率机理建模及参数估计[J]. 华东理工大学学报(自然科学版), 2017, (6): 815-823,889. doi: 10.14135/j.cnki.1006-3080.2017.06.010
YU Ling-jie, ZHANG Ling-bo, GU Xing-sheng. Mechanism Modeling and Parameter Estimation of Conversion Rate in Methanol Synthesis Tower Based on Improved Wolf Pack Algorithm[J]. Journal of East China University of Science and Technology, 2017, (6): 815-823,889. doi: 10.14135/j.cnki.1006-3080.2017.06.010
Citation: YU Ling-jie, ZHANG Ling-bo, GU Xing-sheng. Mechanism Modeling and Parameter Estimation of Conversion Rate in Methanol Synthesis Tower Based on Improved Wolf Pack Algorithm[J]. Journal of East China University of Science and Technology, 2017, (6): 815-823,889. doi: 10.14135/j.cnki.1006-3080.2017.06.010

基于改进狼群算法的甲醇合成塔转化率机理建模及参数估计

doi: 10.14135/j.cnki.1006-3080.2017.06.010
基金项目: 

国家自然科学基金(61573144);上海市科委基础研究重点项目(12JC1403400)

Mechanism Modeling and Parameter Estimation of Conversion Rate in Methanol Synthesis Tower Based on Improved Wolf Pack Algorithm

  • 摘要: 以某甲醇合成塔为研究对象,通过深入分析甲醇合成过程的反应机理,建立了甲醇转化率软测量机理模型。为了提高模型参数的估计精度,提出了一种改进的狼群算法,引入了历史次优的概念与禁忌搜索机制。仿真实验结果表明,改进算法的全局搜索能力明显优于基本算法。以某甲醇合成过程的实际运行数据为样本,运用改进的狼群算法对甲醇转化率机理模型进行参数估计,与基本狼群算法相比,获得的参数精度更高,能更准确地预测合成塔出口处的甲醇转化率。

     

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出版历程
  • 收稿日期:  2016-12-05
  • 刊出日期:  2017-12-28

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