Dynamic matrix control and generalized predictive control, comparison study with IMC-PID

2017 ◽  
Vol 42 (28) ◽  
pp. 17561-17570 ◽  
Author(s):  
Ammar Ramdani ◽  
Said Grouni
Keyword(s):  
Predictive Control ◽  
Generalized Predictive Control ◽  
Comparison Study ◽  
Dynamic Matrix Control ◽  
Dynamic Matrix ◽  
Control Comparison ◽  
Matrix Control

Control of Reactive Distillation Column: A Review

2010 ◽  
Vol 8 (1) ◽  
Author(s):  
Neha Sharma ◽  
Kailash Singh
Keyword(s):  
Predictive Control ◽  
Distillation Column ◽  
Reactive Distillation ◽  
Critical Survey ◽  
Dynamic Matrix Control ◽  
Dynamic Matrix ◽  
Complex Interactions ◽  
Optimal Controllers ◽  
Model Predictive Controllers ◽  
Matrix Control

The objective of this paper is to give a critical survey of the present status within the field of control of a reactive distillation column. Control of a reactive distillation column is a challenging task due to process nonlinearity and complex interactions between the vapor-liquid equilibrium and chemical reactions. There are different types of control methodologies, which have been studied in the reactive distillation, ranging from a simple proportional-integral (PI) controller to advanced model predictive controllers (MPC) such as dynamic matrix control (DMC), quadratic dynamic matrix control (QDMC), robust multivariable predictive control technology (RMPCT), generalized predictive control (GPC), and other advanced control techniques. With the goals of optimal performance, energy conservation and cost effectiveness of process operations in industries, the design of optimal controllers and controller performance assessment have received great attention in both industries and academia. The main objective of control is to maintain the product purity within the desired range.

Study on Predictive Control Technology Based on Disturbance of Electrically Heated Boiler

2013 ◽  
Vol 300-301 ◽  
pp. 1475-1478
Author(s):  
Ming Qiu Li ◽  
Shu Hua Jiang
Keyword(s):  
Predictive Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Dynamic Performance ◽  
Nonlinear Process ◽  
Settling Time ◽  
Dynamic Matrix Control ◽  
Dynamic Matrix ◽  
Matrix Control ◽  
Time Invariant

Electrically heated boiler is a large inertia, time invariant and nonlinear process. Classical PID control algorithm cannot make the system meet up the needs of performance index. Dynamic matrix control (DMC) predictive control algorithm is adopted to control electrically heated boiler temperature. Simulation result shows that the temperature control system’s overshoot is zero, settling time is 200s, the steady-state error is 9.7574e-006. Compared with PID control, DMC predictive control decreases the overshoot and settling time and improves the system dynamic performance. Aim at disturbance, improved DMC control algorithm is put forward and enhance the system disturbance suppression ability.

scholarly journals Comparison of model predictive control strategies for a fluidized catalytic cracker

2017 ◽  
Vol 6 (4) ◽  
pp. 181
Author(s):  
Alexandre Boum ◽  
Jean Pierre Corriou ◽  
Abderrazak Latifi
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Strategies ◽  
Multivariable Control ◽  
Gas Oil ◽  
Dynamic Matrix Control ◽  
Catalyst Recycling ◽  
Dynamic Matrix ◽  
Highly Nonlinear ◽  
Matrix Control

A FCC model is used to compare five different Model Predictive Control (MPC) strategies. The FCC process is a complex petrochemical unit with catalyst recycling that makes its behaviour highly nonlinear. The FCC comprises a riser, a separator and a regenerator with important heat coupling due to the endothermic cracking reactions of gas oil in the riser and the exothermic combustion reactions in the regenerator. The riser and the regenerator exhibit fast and slow dynamics respectively. The temperatures at riser top and in the regenerator should be controlled by manipulation of catalyst and air flow rates. All these nonlinear and coupled characteristics render the multivariable control problem difficult and thus the FCC process constitutes a valuable benchmark for comparing control strategies. Here, the performances of Dynamic Matrix Control, Quadratic Dynamic Matrix Control, MPC control with penalty on the outputs, NonLinear MPC control, Observer Based MPC control are compared.

The Multi-Model Predictive Control Method Research on the Outlet Temperature Control of Hot-Blast Stove

2013 ◽  
Vol 423-426 ◽  
pp. 2813-2816
Author(s):  
Yin Jun Zhang ◽  
Jian Huan Su ◽  
Zheng Jie Lu
Keyword(s):  
Predictive Control ◽  
Control Method ◽  
Good Effect ◽  
Outlet Temperature ◽  
Dynamic Matrix Control ◽  
Dynamic Matrix ◽  
Blast Stove ◽  
Time Optimal ◽  
Hot Blast ◽  
Matrix Control

It is difficult to establish the precise mathematical model of the outlettemperature of hot-blast stove in the real manufacturing, for the control system ishunting system, with uncertainty, time variation, and coupling. So it will be moredifficult to guarantee the effort of control, based on the control algorithm of precisemathematical model. Aiming at these problems, a new predictive control strategywhich can quickly suppress disturbances has been provided by this paper. Thestrategy is based on the idea of control of dynamic matrix control, and combinesdynamic matrix control and the advantages of both time optimal control. It is proved bythe simulation result that this strategy acts a good effect on the outlet temperaturecontrol of hot-blast stove and will quickly suppress the interference.

Dynamic Matrix Control for Multiple Gas Collectors of Coke Ovens

2014 ◽  
Vol 599-601 ◽  
pp. 1215-1219
Author(s):  
Kai Li ◽  
Jiong Dong ◽  
Mei Lei Jiang
Keyword(s):  
Predictive Control ◽  
Control Strategies ◽  
Metallurgical Industry ◽  
Coke Oven ◽  
Dynamic Matrix Control ◽  
Pressure System ◽  
Dynamic Matrix ◽  
Coke Ovens ◽  
Simulation Results ◽  
Matrix Control

The pressure of gas collector in coke oven is an important industrial parameter in coking process, even in the whole metallurgical industry. Due to the complex characteristics of the multiple gas collectors pressure system, conventional control strategies meet challenges when the pressures in collector pipes are required to be kept at the appropriate operating point. Dynamic matrix control (DMC), which focus on the complicated industril process and has achieved successful and mature applications, is the most widely-used model predictive control (MPC). This paper introduce DMC to the multiple gas collectors pressure system. The simulation results in a three-ovens system show the feasibility and effectiveness of DMC.

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