Dynamic Matrix Control, a predictive computer control algorithm developed at Shell Oil Co. (Cutler, 1983) is applied to dual composition control of moderate and high purity, binary distillation towers. The composition control loops in these towers are highly interacting and, in addition, very nonlinear. The difficulty in obtaining a representative process model for nonlinear systems is demonstrated and methods to overcome this problem are suggested. Multivariable gain and time constant scheduling are evaluated using simple analytical models to update key process model parameters (process gains and time constants) on-line. This approach results in a significant improvement in regulatory control performance over the standard application of DM...
This work is concerned with the application of optimal control methods to a pilot scale distillation...
Detailed dynamic simulations of three industrial distillation columns (a propylene/propane splitter,...
The purpose of this paper is an experimental proof-of-concept of the application of NMPC for large s...
This paper demonstrates the use of unconstrained Dynamic Matrix Control (DMC) to control the process...
A detailed dynamic simulator of a propylene/propane (C{sub 3}) splitter, which was bench-marked agai...
Dynamic Matrix Control (DMC) has developed considerably over the last two decades, both within the r...
A model-based predictive controller known as Dynamic Matrix Control with Linear Programming optimize...
Detailed dynamic simulations of three industrial columns (a propylene/propane splitter, a xylene/tol...
Model Predictive control (MPC) is shown to be particularly effective for the self-tuning control of ...
A robust nonlinear control law is designed to reject unknown feed composition disturbances with over...
Model predictive control is an advanced process control method. It is a popular technique in chemica...
This paper presents a detailed procedure to develop a mathematical modelling and simulation of a dis...
Distillation is a method of separating mixtures based on different in their boiling points. It is a ...
Quadratic Dynamic Matrix Control (QDMC) with state estimation is presented for use with nonlinear pr...
This paper develops a distributed model predictive control strategy for the atmospheric and vacuum d...
This work is concerned with the application of optimal control methods to a pilot scale distillation...
Detailed dynamic simulations of three industrial distillation columns (a propylene/propane splitter,...
The purpose of this paper is an experimental proof-of-concept of the application of NMPC for large s...
This paper demonstrates the use of unconstrained Dynamic Matrix Control (DMC) to control the process...
A detailed dynamic simulator of a propylene/propane (C{sub 3}) splitter, which was bench-marked agai...
Dynamic Matrix Control (DMC) has developed considerably over the last two decades, both within the r...
A model-based predictive controller known as Dynamic Matrix Control with Linear Programming optimize...
Detailed dynamic simulations of three industrial columns (a propylene/propane splitter, a xylene/tol...
Model Predictive control (MPC) is shown to be particularly effective for the self-tuning control of ...
A robust nonlinear control law is designed to reject unknown feed composition disturbances with over...
Model predictive control is an advanced process control method. It is a popular technique in chemica...
This paper presents a detailed procedure to develop a mathematical modelling and simulation of a dis...
Distillation is a method of separating mixtures based on different in their boiling points. It is a ...
Quadratic Dynamic Matrix Control (QDMC) with state estimation is presented for use with nonlinear pr...
This paper develops a distributed model predictive control strategy for the atmospheric and vacuum d...
This work is concerned with the application of optimal control methods to a pilot scale distillation...
Detailed dynamic simulations of three industrial distillation columns (a propylene/propane splitter,...
The purpose of this paper is an experimental proof-of-concept of the application of NMPC for large s...