SCI和EI收录∣中国化工学会会刊

Chinese Journal of Chemical Engineering ›› 2015, Vol. 23 ›› Issue (12): 2053-5064.DOI: 10.1016/j.cjche.2015.08.025

• 第25届中国过程控制会议专栏 • 上一篇    下一篇

Simultaneous optimization and control for polypropylene grade transition with two-layer hierarchical structure

Haichuan Lou1,2, Hongye Su1, Yong Gu1, Lei Xie1, Gang Rong1, Weifeng Hou2   

  1. 1 Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China;
    2 Zhejiang Supcon Software Co., Ltd., Hangzhou 310053, China
  • 收稿日期:2015-05-25 修回日期:2015-07-26 出版日期:2015-12-28 发布日期:2016-01-19
  • 通讯作者: Hongye Su
  • 基金资助:

    Supported by the Electronic Information Industry Development Foundation of China (20140806) and the National Natural Science Foundation of China (61374121,61134007).

Simultaneous optimization and control for polypropylene grade transition with two-layer hierarchical structure

Haichuan Lou1,2, Hongye Su1, Yong Gu1, Lei Xie1, Gang Rong1, Weifeng Hou2   

  1. 1 Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China;
    2 Zhejiang Supcon Software Co., Ltd., Hangzhou 310053, China
  • Received:2015-05-25 Revised:2015-07-26 Online:2015-12-28 Published:2016-01-19
  • Contact: Hongye Su
  • Supported by:

    Supported by the Electronic Information Industry Development Foundation of China (20140806) and the National Natural Science Foundation of China (61374121,61134007).

摘要: In this paper, a two-layer hierarchical structure of optimization and control for polypropylene grade transition was raised to overcome process uncertain disturbances that led to the large deviation between the open-loop reference trajectory and the actual process. In the upper layer, the variant time scale based control vector parametric methods (VTS-CVP) was used for dynamic optimization of transition reference trajectory, while nonlinear model predictive controller (NMPC) based on closed-loop subspace and piece-wise linear (SSARX-PWL) model in the lower layer was tracking to the reference trajectory from the upper layer for overcoming high-frequency disturbances. Besides, mechanism about trajectory deviation detection and optimal trajectory updating onlinewere introduced to ensure a smooth transition for the entire process. The proposed method was validated with the real data from an industrial double-loop propylene polymerization reaction process with developed dynamic mechanismmathematicalmodel.

关键词: Polypropylene, Grade transition, Two-layer hierarchical structure, Deviation detection

Abstract: In this paper, a two-layer hierarchical structure of optimization and control for polypropylene grade transition was raised to overcome process uncertain disturbances that led to the large deviation between the open-loop reference trajectory and the actual process. In the upper layer, the variant time scale based control vector parametric methods (VTS-CVP) was used for dynamic optimization of transition reference trajectory, while nonlinear model predictive controller (NMPC) based on closed-loop subspace and piece-wise linear (SSARX-PWL) model in the lower layer was tracking to the reference trajectory from the upper layer for overcoming high-frequency disturbances. Besides, mechanism about trajectory deviation detection and optimal trajectory updating onlinewere introduced to ensure a smooth transition for the entire process. The proposed method was validated with the real data from an industrial double-loop propylene polymerization reaction process with developed dynamic mechanismmathematicalmodel.

Key words: Polypropylene, Grade transition, Two-layer hierarchical structure, Deviation detection