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Effect of tuning parameters of a model predictive binary distillation column
2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)
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 stepdoi:10.1109/ice-ccn.2013.6528582 fatcat:ef5xvrevwvb3fenwobtvlihria