This paper demonstrates the use of unconstrained Dynamic Matrix Control (DMC) to control the process transfer function with time delay. The selection of tuning parameter is challenging task in predictive control algorithm. The DMC scheme is designed and it is used here to control the process transfer function, First Order Plant with Dead Time (FOPDT) model. Here, one manipulated variable (reflux) and one controlled variable (distillate) is considered for the implementation. The algorithm significantly controls the reflux to improve the distillate product purity. The simulation is done using MATLAB m-file. Both servo and regulatory responses were obtained. The simulation result validates the effectiveness of the proposed algorithm
Distillation columns are essential equipment for many industries, they are in charge of separating l...
The objective of this work is to control the constant distillate composition of batch distillation c...
Automation and instrumentation are of extreme importance for industrial processes, as these require ...
This paper demonstrates the use of unconstrained Dynamic Matrix Control (DMC) to control the process...
Model predictive control is an advanced process control method. It is a popular technique in chemica...
Dynamic Matrix Control, a predictive computer control algorithm developed at Shell Oil Co. (Cutler, ...
This article seeks to find the tuning for a driver for the product specification of the top of a dis...
Distillation columns are widely used in chemical industry as unit operation and required advance pro...
Distillation is a method of separating mixtures based on different in their boiling points. It is a ...
Dynamic Matrix Control (DMC) has developed considerably over the last two decades, both within the r...
Abstract – The open loop and disturbance rejection (regulatory) closed loop dynamic simulation of a ...
A model-based predictive controller known as Dynamic Matrix Control with Linear Programming optimize...
Iterative dynamic programming employing randomly chose candidates for admissible control is applied ...
Model Predictive control (MPC) is shown to be particularly effective for the self-tuning control of ...
This article presents an approximate alternative to non-linear predictive control. This alternative ...
Distillation columns are essential equipment for many industries, they are in charge of separating l...
The objective of this work is to control the constant distillate composition of batch distillation c...
Automation and instrumentation are of extreme importance for industrial processes, as these require ...
This paper demonstrates the use of unconstrained Dynamic Matrix Control (DMC) to control the process...
Model predictive control is an advanced process control method. It is a popular technique in chemica...
Dynamic Matrix Control, a predictive computer control algorithm developed at Shell Oil Co. (Cutler, ...
This article seeks to find the tuning for a driver for the product specification of the top of a dis...
Distillation columns are widely used in chemical industry as unit operation and required advance pro...
Distillation is a method of separating mixtures based on different in their boiling points. It is a ...
Dynamic Matrix Control (DMC) has developed considerably over the last two decades, both within the r...
Abstract – The open loop and disturbance rejection (regulatory) closed loop dynamic simulation of a ...
A model-based predictive controller known as Dynamic Matrix Control with Linear Programming optimize...
Iterative dynamic programming employing randomly chose candidates for admissible control is applied ...
Model Predictive control (MPC) is shown to be particularly effective for the self-tuning control of ...
This article presents an approximate alternative to non-linear predictive control. This alternative ...
Distillation columns are essential equipment for many industries, they are in charge of separating l...
The objective of this work is to control the constant distillate composition of batch distillation c...
Automation and instrumentation are of extreme importance for industrial processes, as these require ...