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Distillation column is one of the most important units in a chemical plant. This paper provides a comprehensive study of mathematical model and control of binary distillation column. Wood-Berry distillation column model is considered in this paper which separates methanol from water. PID controller, decoupled PID controller and model predictive controller are used to control the distillation column.
This paper provides a comparative analysis of different control strategies used to control the top and bottom product of binary distillation column. Classical Wood and Berry model has been considered as the model of distillation column and the controller is designed considering a non-interacting process. Performance evaluation of different controllers such as internal model controller (IMC), lead-lag...
Generalized Predictive Control (GPC) belongs to a family of Model Predictive Controllers, which incorporate the concept of Receding Horizon to predict the future output, optimize a cost function based on the predicted error and provide the optimized control sequence. GPC controller has four tuning parameters, control weight, minimum and maximum prediction horizon and control horizon. The paper addresses...
The prime objective of any industrial process is to perform efficiently with variable cost reduction. Internal Model Control (IMC) is a commonly used technique that provides a transparent mode for the designing and tuning of various types of control architecture. In this paper, we have designed the internal model control for binary distillation column for SISO process. The transfer function has been...
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...
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