Investigation of process dynamics and control of polystyrene batch reactor using hybrid model
Hosen, Mohammad Anwar, Hussain, Mohd Azlan, Khosravi, Abbas, Creighton, Douglas and Nahavandi, Saeid 2012, Investigation of process dynamics and control of polystyrene batch reactor using hybrid model, in WCECS 2012 : Proceedings of the World Congress on Engineering and Computer Science, Newswood Limited, Hong Kong, pp. 765-769.
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Investigation of process dynamics and control of polystyrene batch reactor using hybrid model
The effects of operating conditions such as initiator and monomer concentration as well as reactor temperature of polymerization reactors are studied in this work. A recently developed hybrid model for polystyrene batch reactor is utilized in simulation study. The simulation results reveal the sensitivity of polymer properties and monomer conversion to variation of process operating conditions. In the second phase of this study, the optimization problem involving minimum time optimal temperature policy is considered for control study. An advanced neural network-based model predictive controller (NN-MPC) is designed and tested online. The experimental studies reveal that the developed controller is able to track the optimal setpoint with a minor oscillation and overshoot.
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