Nonlinear Model Predictive Control Of A Distillation Column Using Hammerstein Model And Nonlinear Autoregressive Model With Exogenous Input.

Turus penyulingan adalah unit proses penting dalam industri penapisan petroleum dan kimia. Ia perlu dikawal hampir dengan keadaan-keadaan pengendalian yang optima demi insentif- nsentif ekonomi. Distillation column is an important processing unit in petroleum refining and chemical industries, and needs to be controlled close to the optimum operating conditions because of economic incentives

Multivariable Nonlinear Model Predictive Control for a Petroleum Refinery: Multivariable Nonlinear Model Predictive Control for a Petroleum Refinery

This paper presents a detailed procedure to develop a mathematical modelling and simulation of a distillation column for a real feedstock from a condensate processing plant as an initial step of a project feasibility study. The mathematical model of overall dynamics is established on the dynamic continuity equations of the mass and the energy for each unit operation where the mass and the energy can accumulate. The paper provides a case study tutorial for a typical petroleum refinery engineering design. The dynamic analysis and controller for the distillation systems are extremely complicated due to their nonlinearity and multivariable. A nonlinear model predictive control (NMPC) computational scheme for with soften constraints is developed to verify the applicable ability of a direct NMPC controller for a distillation column dealing with the disturbance and the model-plant mismatch as the influence of the plant feed disturbances

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

Adaptive Model Predictive Control of Batch Systems

Adaptive Model Predictive Control was applied on a semi-batch reactor and a batch distillation column. It was shown that AMPC is capable of regulating batch operations with product performances similar to that of NMPC and it requires a computational time significantly lower. Furthermore, the robustness of AMPC was tested introducing some process mismatch in the process model. Therefore, it was shown that some recursive tuning might be necessary to increase robustnes