Simulation of Model Predictive Control of Semi-batch Reactor
نویسندگان
چکیده
The aim of this paper is to present simulation of model predictive control of chemical exothermic semi-batch reactor model, while the MPC controller uses an artificial neural network as a predictor. A first order chemical reaction is considered to be running in the reactor. The reaction is strongly exothermic so the in-reactor temperature is rising very fast due to reaction component dosing. Thus, the temperature control is necessary. The system is nonlinear because of chemical reaction kinetics, so its control is difficult by classical methods.
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