Abstract
This paper describes an intelligent control scheme for the reaction stage of a batch polypropylene reactor. With time varying and nonlinear characteristics, it is quite difficult to control a batch unit only using traditional control methods. In this paper, bang-bang control, fuzzy control and traditional PID control are combined together to form an intelligent compound control system, based on the actual technology and the rich experience of skilled operators. A multi-layer feed-forward neural network is used to model the process. The efficiency of the proposed control scheme is illustrated. It solves the conflict between steady state error and dynamic responsiveness.
| Original language | English |
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| Pages | 439-443 |
| Number of pages | 5 |
| Publication status | Published - 2000 |
| Externally published | Yes |
| Event | Proceedings of the 3th World Congress on Intelligent Control and Automation - Hefei, China Duration: 28 Jun 2000 → 2 Jul 2000 |
Conference
| Conference | Proceedings of the 3th World Congress on Intelligent Control and Automation |
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| Country/Territory | China |
| City | Hefei |
| Period | 28/06/00 → 2/07/00 |
Keywords
- Batch polypropylene produce
- Intelligent compound control
- Neural network