Multivariable Decoupling Predictive Control Based on QFT Theory and Application in CSTR Chemical Process  被引量:4

基于定量反馈理论的多变量解耦预测控制及其在CSTR化学过程中的应用

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作  者:王增会 陈增强 孙青林 袁著祉 

出  处:《Chinese Journal of Chemical Engineering》2006年第6期765-769,共5页中国化学工程学报(英文版)

基  金:Supported by the National Natural Science Foundation of China (No.60374037, No.60574036), the Program for New Century Excellent Talents in Education Ministry (NCET), and the Specialized Research Fund for the Doctoral Program of Higher Education of China (No.20050055013).

摘  要:A novel method of incorporating generalized predictive control (GPC) algorithms based on quantitative feedback theory (QFT) principles is proposed for solving the feedback control problem of the highly uncertain and cross-coupling plants. The quantitative feedback theory decouples the multi-input and multi-output (MIMO) plant and is also used to reduce the uncertainties of the system, stabilize the system, and achieve tracking performance of the system to a certain extent. Single-input and single-output (SISO) generalized predictive control is used to achieve performance with higher performance. In GPC, the model is identified on-line, which is based on the QFT input and the plant output signals. The simulation results show that the performance of the system is superior to the performance when only QFT is used for highly uncertain MIMO plants.

关 键 词:quantitative feedback theory  generalized PREDICTIVE control  decouple  MULTIVARIABLE uncertain system frequency domain design 

分 类 号:TQ-55[化学工程]

 

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