SCI和EI收录∣中国化工学会会刊

Chinese Journal of Chemical Engineering ›› 2012, Vol. 20 ›› Issue (6): 1039-1046.

• •    下一篇

A Review for Model Plant Mismatch Measures in Process Monitoring*

王洪1, 谢磊2, 宋执环1   

  1. 1. State Key Laboratory of Industrial Control Technology, Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China;
    2. Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China
  • 收稿日期:2012-03-30 修回日期:2012-07-31 出版日期:2012-12-28 发布日期:2012-12-28
  • 通讯作者: Zhihuan,E-mail:zhsong@iipc.zju.edu.cn
  • 基金资助:
    Supported in part by the National Basic Research Program of China (2012CB720500);the Erasmus Mundus Europe Asia(EMEA) Scholarship Program

A Review for Model Plant Mismatch Measures in Process Monitoring*

WANG Hong1, XIE Lei2, SONG Zhihuan1   

  1. 1. State Key Laboratory of Industrial Control Technology, Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China;
    2. Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou 310027, China
  • Received:2012-03-30 Revised:2012-07-31 Online:2012-12-28 Published:2012-12-28
  • Supported by:
    Supported in part by the National Basic Research Program of China (2012CB720500);the Erasmus Mundus Europe Asia(EMEA) Scholarship Program

摘要: Model is usually necessary for the design of a control loop.Due to simplification and unknown dynamics,model plant mismatch is inevitable in the control loop.In process monitoring,detection of mismatch and evaluation of its influences are demanded.In this paper several mismatch measures are presented based on different model descriptions.They are categorized into different groups from different perspectives and their potential in detection and diagnosis is evaluated.Two case studies on mixing process and distillation process demonstrate the efficacy of the framework of mismatch monitoring.

关键词: model plant mismatch, process monitoring, control loop behavior

Abstract: Model is usually necessary for the design of a control loop.Due to simplification and unknown dynamics,model plant mismatch is inevitable in the control loop.In process monitoring,detection of mismatch and evaluation of its influences are demanded.In this paper several mismatch measures are presented based on different model descriptions.They are categorized into different groups from different perspectives and their potential in detection and diagnosis is evaluated.Two case studies on mixing process and distillation process demonstrate the efficacy of the framework of mismatch monitoring.

Key words: model plant mismatch, process monitoring, control loop behavior