Observer based multivariable control of a catalytic reverse flow reactor: comparison between LQR and MPC approaches

This paper is devoted to the MIMO control of the catalytic reverse flow reactor (RFR) which aims to reduce the amount of volatile organic compounds (VOCs) released in the atmosphere. The RFR is characterized by the periodic reversal of the gas flow that aims to trap the heat of reaction inside the RFR. The control issue is to confine the hot spot temperature inside an envelope (in order to ensure complete conversion of the pollutant and to prevent catalyst overheating) in spite of stochastic variations of the inlet pollutant concentration (the input disturbance). The manipulated variables (dilution rate and internal electric heating ) have to be optimized. Closed-loop performances of the LQR and the MPC are compared through simulations.

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