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Control of polystyrene batch reactor using fuzzy logic controller

conference contribution
posted on 2013-01-01, 00:00 authored by Anwar HosenAnwar Hosen, Abbas KhosraviAbbas Khosravi, Saeid Nahavandi, Douglas CreightonDouglas Creighton
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