Chemical Industry and Engineering Progree

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Application of DE-based multi-variable predictive control in CDU

LI Huajie,LÜ Wenxiang,HUANG Dexian   

  1. Department of Automation,Tsinghua University;Tsinghua National Laboratory for Information Science and Technology
  • Online:2009-04-05 Published:2009-04-05

基于差分进化算法的多变量预测控制在蒸馏装置上的应用

李华杰,吕文祥,黄德先   

  1. 清华大学自动化系;清华信息科学与技术国家实验室

Abstract: Differential evolution (DE) algorithm has many advantages,such as global optimum and high efficiency. A new predictive control algorithm based on DE was proposed,using DE to get the optimal control value. The algorithm had nothing to do with the type of the model,and it could be used in both linear and non-linear objects. The algorithm combined dynamic control and optimization in an index function,and used single-value predictive control. Application of the algorithm in CDU obtained good results,showing the feasibility and efficiency of the algorithm.

摘要: 差分进化算法(DE)具有全局寻优、搜索效率高等优点,本文提出了一种基于DE的多变量预测控制算法,利用DE求解最优控制律,与对象的模型类型无关,能通用于线性模型和非线性模型。采用单值预测减小计算量,并对传统的性能指标函数加以改进,使动态控制和优化有机地结合在一起。通过在蒸馏装置常压部分上的仿真验证,实现了整个蒸馏装置的产品质量闭环控制,并实现了卡边优化,验证了算法的有效性和可行性。

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