An application of a linear-programming based model-predictive control
strategy to the paper-machine cross-direction (CD) control problem is
presented. The objective of CD control is to maintain flat profiles of
variables of interest by minimizing worst-case deviations from setpoi
nts (defects). These control problems can have as many as 200 actuator
s (inputs) and 400 sensor measurements (outputs). This large size coup
led with the stringent real-time requirement of computing a control mo
ve in a few seconds poses a very challenging control problem. The LP-b
ased strategy is particularly well suited for solving such classes of
control problems. This strategy has demonstrated its ability to solve
large-scale control problems (over 100 inputs and 100 outputs) in real
time and exhibits robustness to model uncertainty.