Computers & Chemical Engineering, vol. 34, issue 12 (2010) pp. 1999-2006
This paper studies a simplified methodology to integrate the real
time optimization (RTO) of a continuous system into the model predictive
controller in the one layer strategy. The gradient of the economic
objective function is included in the cost function of the controller.
Optimal conditions of the process at steady state are searched through
the use of a rigorous non-linear process model, while the trajectory
to be followed is predicted with the use of a linear dynamic model,
obtained through a plant step test. The main advantage of the proposed
strategy is that the resulting control/optimization problem can still
be solved with a quadratic programming routine at each sampling step.
Simulation results show that the approach proposed may be comparable
to the strategy that solves the full economic optimization problem
inside the MPC controller where the resulting control problem becomes
a non-linear programming problem with a much higher computer load.
(C) 2010 Elsevier Ltd. All rights reserved.
Mendeley saves you time finding and organizing research
There are no full text links
Choose a citation style from the tabs below