AIChE Symposium Series, Volume 93, Issue 316American Institute of Chemical Engineers, 1997 - Chemical engineering |
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Page 54
... Figure 10. Overview of industrial pH process . sured pH value . Prolonged excursions at low pH values were felt to ... Figure 10 . An example of the types of changes in pH of the pro- cess stream is given in Figure 11. During the time ...
... Figure 10. Overview of industrial pH process . sured pH value . Prolonged excursions at low pH values were felt to ... Figure 10 . An example of the types of changes in pH of the pro- cess stream is given in Figure 11. During the time ...
Page 57
... Figure 15. pH response with coated probe . 20 0 0 20 40 60 80 100 Time ( min ) 120 Figure 18. Lime flow , flow set point , and valve position cor- responding to Figure 17 . 12 29 10 8 2 0 0 20 40 60 80 100 Time ( min ) Hd 6 4 2 0 50 100 ...
... Figure 15. pH response with coated probe . 20 0 0 20 40 60 80 100 Time ( min ) 120 Figure 18. Lime flow , flow set point , and valve position cor- responding to Figure 17 . 12 29 10 8 2 0 0 20 40 60 80 100 Time ( min ) Hd 6 4 2 0 50 100 ...
Page 282
... Figure 2 shows the one - step - ahead prediction ( 1 SAP ) for each of the three models compared to Set 2. Figure 3 shows the multiple- step - ahead prediction ( m SAP ) over the same data set . Finally , Fig . 4 compares the multiple ...
... Figure 2 shows the one - step - ahead prediction ( 1 SAP ) for each of the three models compared to Set 2. Figure 3 shows the multiple- step - ahead prediction ( m SAP ) over the same data set . Finally , Fig . 4 compares the multiple ...
Contents
Industry Assessment | 1 |
Predictive Control | 5 |
Adaptive and Nonlinear Control Fact or Fantasy? | 9 |
Copyright | |
22 other sections not shown
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adaptive control AIChE algorithm analysis analytical applications approach auto-correlation batch behavior changes Chem Chemical Engineering chemical process chip closed-loop constraints continuous control problems control system controller design defined developed discrete disturbance dynamic equations estimation example feedback control Figure finite Grafcet horizon hybrid systems identification IEEE implementation input linear control loop manufacturing matrix measured methods model predictive control monitoring Morari multivariable neural networks nonlinear control nonlinear model nonlinear systems on-line operating optimal control output error paper machine parameters Petri net PID controllers plant Proc process control process model programming Pulp and Paper quadratic quadratic program reactor robust robust control scheduling sensors sequence set point significant simulation snack food solution specifications stability step structure synthesis TAPPI Press techniques temperature theory tion trajectory transfer function trend trol uncertainty valve variables variance vector wafer