东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2004, Vol. 25 ›› Issue (8): 734-737.DOI: -

• 论著 • 上一篇    下一篇

分批重复过程迭代学习广义预测控制

李书臣;徐心和;李平   

  1. 东北大学信息科学与工程学院;东北大学信息科学与工程学院;辽宁石油化工大学信息工程学院 辽宁沈阳　110004
  • 收稿日期:2013-06-24 修回日期:2013-06-24 出版日期:2004-08-15 发布日期:2013-06-24
  • 通讯作者: Li, S.-C.
  • 作者简介:-
  • 基金资助:
    辽宁省教育厅高等学校科学研究项目(202223207)

Iterative learning of generalized predictive control for repeatable batch process

Li, Shu-Chen (1); Xu, Xin-He (1); Li, Ping (2)   

  1. (1) Sch. of Info. Sci. and Eng., Northeastern Univ., Shenyang 110004, China; (2) Sch. of Info. Eng., Liaoning Univ. of Petrochem. Tech., Fushun 113001, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2004-08-15 Published:2013-06-24
  • Contact: Li, S.-C.
  • About author:-
  • Supported by:
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摘要： 针对一类分批重复操作过程,提出迭代学习广义预测控制(ILGPC)算法·该算法利用以前的过程输入输出信息,在GPC结构中增加干扰预测估计的迭代学习前馈回路,通过对部分可重复干扰的估计和学习,提高了分批重复操作过程的控制品质,减小了跟踪误差·对算法的稳定性做了分析,并以间歇聚合反应过程为仿真对象,研究了算法的稳定性和鲁棒性·

关键词: 迭代学习控制, 广义预测控制, 重复操作过程, 收敛性分析, CARIMA模型

Abstract: An algorithm of generalized predictive control with iterative learning (ILGPC) was proposed for a repeatable batch process. Adding an iterative learning feed-forward loop in GPC loop by utilizing the previous process I/O information, the algorithm improves the control performance of repeatable operation process and reduces the tracking error through predictive estimation and learning part of repeatable disturbance. The stability of the algorithm is also analyzed, and the stability and robustness of the proposed algorithm are verified by a simulation of an intermittent polymerization reaction process.

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