Abstract
This paper investigates the implementation of start-up policies for an exothermic chemical batch reactor. The study includes the development of a rule-based expert system which will "learn" the "best" trajectory through experience as it controls the reactor. In this way, the start-up time can be minimized while maintaining stable operating conditions despite uncertainties in the kinetics and design parameters. Integrated into the expert system is either an adaptive or a robustly tuned PID algorithm employed for fine-tuning the temperature control under normal operating conditions, which removes the need for re-tuning the controller from batch to batch. The control scheme is tested on a simulation of a batch reactor carrying out two consecutive irreversible reactions with the product of the first reaction being desired.
Original language | English |
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Pages | 207-212 |
Number of pages | 6 |
DOIs | |
State | Published - 1 Jan 1989 |
Externally published | Yes |
Event | 1989 IEEE International Conference on Control and Applications, ICCON 1989 - Jerusalem, Israel Duration: 3 Apr 1989 → 6 Apr 1989 |
Conference
Conference | 1989 IEEE International Conference on Control and Applications, ICCON 1989 |
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Country/Territory | Israel |
City | Jerusalem |
Period | 3/04/89 → 6/04/89 |
ASJC Scopus subject areas
- Process Chemistry and Technology
- Artificial Intelligence
- Control and Systems Engineering
- Control and Optimization