Control of polymerization reactors is a challenging issue for researchers due to the complex reaction mechanisms. A lot of reactions occur simultaneously during polymerization. This leads to a polymerization system that is highly nonlinear in nature. In this work, a nonlinear advanced controller, named fuzzy logic controller (FLC), is developed for monitoring the batch free radical polymerization of polystyrene (PS) reactor. Temperature is used as an intermediate control variable to control polymer quality, because the products quality and quantity of polymer are directly depends on temperature. Different FLCs are developed through changing the number of fuzzy membership functions (MFs) for inputs and output. The final tuned FLC results are compared with the results of another advanced controller, named neural network based model predictive controller (NN-MPC). The simulation results reveal that the FLC performance is better than NN-MPC in terms of quantitative and qualitative performance criterion.
History
Event
IEEE Systems, Man and Cybernetics. Conference (2013 : Manchester, England)
Pagination
4516 - 4521
Publisher
IEEE
Location
Manchester, England
Place of publication
Piscataway, N.J.
Start date
2013-10-13
End date
2013-10-16
Language
eng
Publication classification
E1 Full written paper - refereed
Copyright notice
2013, IEEE
Title of proceedings
SMC 2013 : Proceedings of the 2013 IEEE International Conference on Systems, Man and Cybernetics