Effect of tuning parameters of a model predictive binary distillation column

Model Predictive Control (MPC) is used mainly for specific handling of constraints. MPC is implemented mainly by microprocessors. So, before implementation it is converted to discrete time. This paper presents about the design of dynamic linear controller for a binary distillation column. The design is based on MPC, which is based on prediction of control variable. We have used Wood and Berry 2×2 function for the distillation column. Firstly, we have implemented an ideal MPC by taking unit step input. Secondly, we have implemented general MPC for binary distillation column by taking the unit step input with and without disturbance. We have analyzed the manipulated and controlled variables for the distillation column using MPC. We have also find how to remove the ringing effect in manipulated variables for MPC.