An inferential robust control technique is applied to an experimental fixed bed reactor. The controlled variables are the exit concentration and the maximum bed temperature. Both controlled variables are inferred from one single temperature measurement. The location of this measurement is selected to optimize the performance of the closed-loop system when model uncertainty is allowed. Closed-loop experiments are conducted to test the robustness characteristics of the controller. From these experiments, the operating regions most sensitive to modelling uncertainty are determined. The nonlinear system characteristics can cause significant offset in the inferred controlled variables.
[1]
Manfred Morari,et al.
Design of resilient processing plants—V: The effect of deadtime on dynamic resilience
,
1985
.
[2]
John F. MacGregor,et al.
An application of self-tuning regulators to catalytic reactor control
,
1978
.
[3]
Manfred Morari,et al.
Internal model control and process uncertainty: mapping uncertainty regions for SISO controller design
,
1986
.
[4]
Richard Weber,et al.
The use of secondary measurements to improve control
,
1972
.
[5]
J. Seinfeld,et al.
Optimal location of measurements in tubular reactors
,
1978
.