Chapter 16. Model Predictive Control

MPC is the class of advanced control techniques most widely applied in the process industries. A primary advantage to the approach is the explicit handling of constraints. In addition, the formulation for multivariable systems with time delays is straightforward.

After studying this chapter, the reader should understand the basic ideas behind SISO MPC, including the following:

• Dynamic matrix control (DMC)

• Tuning parameters such as prediction and control horizons and control weight

• The effect tuning parameters have on the control performance and stability

• The ability to explicitly include constraints and handle multivariable processes

The major sections of this chapter are as follows:

16.1 Motivation

16.2 Optimization Problem

16.3 Dynamic Matrix Control

16.4 Constraints and Multivariable Systems

16.5 Other MPC Methods

16.6 MATLAB

16.7 Summary