Page 284 - Distributed model predictive control for plant-wide systems

258 Distributed Model Predictive Control for Plant-Wide Systems

Figure 11.13 Runout table pilot apparatus

910
900
FT (°C) 890

880
870

860
5 10 15 20 25 30 35 40
Time (s)

Figure 11.14 Finishing rolling temperature of strip

but also optimize the whole evolution of strip temperature online. The flexibility and precision
of the control system are enhanced.

11.6 Conclusion
In the present study, a DMPC framework is designed for the HSLC process, in which the overall
system is divided into several interconnected subsystems and each subsystem is controlled by
a local MPC. First, the state space representation of each subsystem is developed using the
finite volume method. Next, an observer based on EKF is designed to reconstruct the current