Nonlinear Mpc Based on Multi-model for Distillation Columns

Rejection of the Feed-Flow Disturbances in a Multi-Component Distillation Column Using a Multiple Neural Network Model-Predictive Controller

This article deals with the issues associated with developing a new design methodology for the nonlinear model-predictive control (MPC) of a chemical plant. A combination of multiple neural networks is selected and used to model a nonlinear multi-input multi-output (MIMO) process with time delays.  An optimization procedure for a neural MPC algorithm based on this model is then developed. T...

Implementation of Internal Model Control (imc) in Continuous Distillation Column

Distillation columns have been widely used in chemical plants for separation process. The high nonlinearity and dynamic behavior of the column make them hard to control. Internal Model Control (IMC) is one of the model based control strategy that have become the central of research to control such column. This paper will review the implementation of IMC in controlling continuous distillation co...

Linking Nonlinear Steady-state and Target Set-point Optimisation for Model Predictive Control

The problem of cooperation of model predictive control (MPC) algorithm with nonlinear (local) steady-state optimisation is considered. It is important when dynamics of disturbances is comparable with dynamics of the process, thus when application of a classical multi-layer approach may be not efficient. The case concerns a situation when a reliable steady-state process model is nonlinear, often...

A Survey for the Selection of Control Structure for Distillation Columns Based on Steady State Controllability Indexes

Implementation of Mpc on a Deethanizer at Kårstø Gas Plant

Model predictive control (MPC) is implemented on several distillation columns at the Kårstø gas processing plant, Norway. The paper describes the procedure in the implementation of MPC at a deethanizer using the SEPTIC ∗ MPC tool, including design, estimator development, model development and tuning. For the deethanizer, the variance in the product quality has been reduced with about 50%. The n...