Page 167 - Distributed model predictive control for plant-wide systems

Networked Distributed Predictive Control with Information Structure Constraints 141

Table 7.2 The plate parameters and the operating points
Item Value

Thickness of plate 19.28 mm
Length of plate 25 m
◦
Environment temperature 25 C
◦
Starting temperature 750–800 C
◦
Desired final temperature 510–550 C
Average velocity of plate 1.6 m/s
Number of header opened 12
Sampling period 0.37 s

Temperature°C 800 6 7
700
600
500
400 3 4 5
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 1 2
17
Layer
Subsystem

800 S 1 S 2 S 3 S 4 S 5 S 6 S 7 S 8 S 9 S 10 S 11 S 12 S 13 S 14 S 15 S 16 S 17
Temperature°C 700

600

500

400
1 2 3 4 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 3 4
Column
Figure 7.3 Equilibriums of states of entire system

proposed in [46]. Both the control decision and performance of the closed-loop system using
N-DMPC are very close to those using the centralized MPC. Furthermore, there is less com-
putation demand using the N-DMPC than using the centralized MPC. Thus, the N-DMPC is
an effective method which could guarantee global performance improvement with fast com-
putational speed and less communication burden.