Hybrid Neural Network Controller Design for a Batch Reactor to Produce Methyl Methacrylate

Authors

  • Paisan Kittisupakorn Chulalongkorn University
  • Thanutchaporn Charoenniyom Chulalongkorn University
  • Wachira Daosud Burapha University

DOI:

https://doi.org/10.4186/ej.2014.18.1.145

Keywords:

Methyl methacrylate, batch reactor, neural network based model predictive control, neural network direct inverse control, dynamic optimization.

Abstract

Methyl methacrylate (MMA) production in an exothermic batch reactor provides a challenging problem for studying its dynamics behavior and temperature control. This work presents a neural network forward model (NN) to predict a concentration of methyl methacrylate, a jacket temperature and temperature profile in the reactor. An optimal NN model has been employed to predict state variables incorporating into a model predictive control (MPC) algorithm to determine optimal control actions. To control the temperature, neural network based control approaches: a neural network direct inverse control (NNDIC) and a neural network based model predictive control (NNMPC) have been formulated. In addition, a dynamic optimization approach has been applied to find out an optimal operating temperature to achieve maximizing the MMA product at specified final time. Simulation results have indicated that the NNMPC is robust and gives the best control results among the PID and NNDIC in all cases.

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Author Biographies

Paisan Kittisupakorn

Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, 10330, Thailand

Thanutchaporn Charoenniyom

Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, 10330, Thailand

Wachira Daosud

Department of Chemical Engineering, Faculty of Engineering, Burapha University, Chonburi 20131, Thailand

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Published In
Vol 18 No 1, Oct 15, 2013
How to Cite
[1]
P. Kittisupakorn, T. Charoenniyom, and W. Daosud, “Hybrid Neural Network Controller Design for a Batch Reactor to Produce Methyl Methacrylate”, Eng. J., vol. 18, no. 1, pp. 145-162, Oct. 2013.