MATLAB MODEL PREDICTIVE CONTROL TOOLBOX - S Dokumentacja Pobierz pdf (Strona 142)

5 Designing and Testing Controllers in Simulink

5-2

Design Controller in Simulink

This example shows how to design a model predictive controller in Simulink.

Suppose you have built a nonlinear plant model in Simulink. You want to design an MPC

controller at a specific equilibrium operating point. This example shows that model-based

design workflow. You linearize the plant at the desired operating point, design the MPC

controller and validate it with nonlinear simulation.

Continuous Stirred Tank-Reactor Model

The Simulink model, CSTR_ClosedLoop, models a continuous stirred tank-reactor

(CSTR) plant. A model predictive controller regulates the CSTR plant.

open_system('CSTR_ClosedLoop');

CSTR Plant

The CSTR block, which models the nonlinear plant, has three inputs:

• Feed Concentration (CAi inport) — Concentration of the limiting reactant in the

CSTR feed stream.

• Feed Temperature (Ti inport) — Temperature of the limiting reactant in the CSTR

feed stream.

• Coolant Temperature (Tc inport) — Temperature of the CSTR coolant. The MPC

controller (MPC Controller block) treats this plant input as a manipulated variable.

The CSTR block has two states: the temperature and concentration of the limiting

reactant in the reactor. These states are measured and displayed by the following blocks:

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MATLAB MODEL PREDICTIVE CONTROL TOOLBOX - S Dokumentacja Strona 142