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

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