东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2008, Vol. 29 ›› Issue (10): 1369-1372.DOI: -

• 论著 •    下一篇

蒸发过程的非线性模型预测控制

王永刚;柴天佑;   

  1. 东北大学流程工业综合自动化教育部重点实验室;
  • 收稿日期:2013-06-22 修回日期:2013-06-22 出版日期:2008-10-15 发布日期:2013-06-22
  • 通讯作者: Wang, Y.-G.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(60534010);;

Nonlinear model predictive control of evaporation process

Wang, Yong-Gang (1); Chai, Tian-You (1)   

  1. (1) Key Laboratory of Integrated Automation of Process Industry, Northeastern University, Shenyang 110004, China
  • Received:2013-06-22 Revised:2013-06-22 Online:2008-10-15 Published:2013-06-22
  • Contact: Wang, Y.-G.
  • About author:-
  • Supported by:
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摘要： 针对蒸发过程的六效逆流蒸发系统存在着多变量、非线性且回路间具有较强耦合等特点,基于物料衡算和热量衡算在其稳态工作点附近建立了动态模型,并应用非线性模型预测控制策略进行了仿真研究.为了更好地解决非线性模型预测控制中的优化问题,采用遗传算法来计算其控制序列,并将输出变量的约束作为惩罚项加到目标函数中,以保证求出的控制量可行.与常规PID控制结果比较表明,非线性模型预测控制在控制性能上有了较大改善并起到了节能降耗的作用.

关键词: 蒸发过程, 非线性系统, 非线性模型预测控制, 遗传算法

Abstract: The 6-effect countercurrent alumina evaporation process is actually a multivariable nonlinear system where the coupling between circuits is strong. A dynamic model is presented in the vicinity of the operating point in steady state, based on material balance and thermal equilibrium. Then, the NMPC strategy is applied to the simulation of the evaporation system to solve the NMPC optimization problem better. A genetic algorithm is introduced to calculate the control sequence, and the constraint on the output variables as penalty terms is added to the objective function to ensure the availability of the control quantities thus obtained. Comparing with the conventional PID control, the NMPC strategy can improve greatly the control performance and save energy to reduce its consumption.

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