CIESC Journal

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离线辨识和在线辨识相结合的广义预测控制算法在固定床反应器温度控制中的应用

余世明a; 王海青b   

  1. a Institute of Intelligent Information System, Zhejiang University of Technology, Hangzhou
    310014, China
    b Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2003-02-28 发布日期:2003-02-28
  • 通讯作者: 余世明

Improved Generalized Predictive Control Algorithm with Offline and Online Identification
and Its Application to Fixed Bed Reactor

YU Shiminga; WANG Haiqingb   

  1. a Institute of Intelligent Information System, Zhejiang University of Technology, Hangzhou
    310014, China
    b Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2003-02-28 Published:2003-02-28
  • Contact: YU Shiming

摘要: An improved generalized predictive control algorithm is presented in this paper by
incorporating offlineidentification into online identification. Unlike the existing
generalized predictive control algorithms, the proposedapproach divides parameters of a
predictive model into the time invariant and time-varying ones, which are
treatedrespectively by offiine and online identification algorithms. Therefore, both the
reliability and accuracy of thepredictive model are improved. Two simulation examples of
control of a fixed bed reactor show that this newalgorithm is not only reliable and stable
in the case of uncertainties and abnormal disturbances, but also adaptableto slow time
varying processes.

关键词: generalized predictive control;offline identification;online identification;fixed bed reactor

Abstract: An improved generalized predictive control algorithm is presented in this paper by
incorporating offlineidentification into online identification. Unlike the existing
generalized predictive control algorithms, the proposedapproach divides parameters of a
predictive model into the time invariant and time-varying ones, which are
treatedrespectively by offiine and online identification algorithms. Therefore, both the
reliability and accuracy of thepredictive model are improved. Two simulation examples of
control of a fixed bed reactor show that this newalgorithm is not only reliable and stable
in the case of uncertainties and abnormal disturbances, but also adaptableto slow time
varying processes.

Key words: generalized predictive control, offline identification, online identification, fixed bed reactor