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稳态目标优化的稳定MIMO约束预测控制

黄德先; 王京春; 金以慧   

  1. Department of Automation, Tsinghua University, Beijing 100084 China
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2000-12-18 发布日期:2000-12-18
  • 通讯作者: 黄德先

Stable MIMO Constrained Predictive Control with Steady state Objective Optimization

HUANG Dexian; WANG Jingchun; JIN Yihui   

  1. Department of Automation, Tsinghua University, Beijing 100084 China
  • Received:1900-01-01 Revised:1900-01-01 Online:2000-12-18 Published:2000-12-18
  • Contact: HUANG Dexian

摘要: A two-stage multi-objective optimization model-predictive control algorithms(MPC) strategy
is pre sented. A domain MPC controller with input constraints is used to increase freedom
for steady-state objective and enhance stabilization of the controller. A steady-state
objective optimization algorithm oriented to transient process is adopted to realize
optimization of objectives else than dynamic control. It is proved that .the stabilization
for both dynamic control and steady-state objective optimization can be guaranteed. The
theoretical results are demonstrated and discussed using a distillation tower as the model.
Theoretical analysis and simulation results show that this control strategy is efficient
and provides a good strategic solution to practical process control.

关键词: predictive control;constraint control;optimization;stability

Abstract: A two-stage multi-objective optimization model-predictive control algorithms(MPC) strategy
is pre sented. A domain MPC controller with input constraints is used to increase freedom
for steady-state objective and enhance stabilization of the controller. A steady-state
objective optimization algorithm oriented to transient process is adopted to realize
optimization of objectives else than dynamic control. It is proved that .the stabilization
for both dynamic control and steady-state objective optimization can be guaranteed. The
theoretical results are demonstrated and discussed using a distillation tower as the model.
Theoretical analysis and simulation results show that this control strategy is efficient
and provides a good strategic solution to practical process control.

Key words: predictive control, constraint control, optimization, stability