Temperature Control in Distillation Column Using Generalized Predictive Control Method

2002 ◽  
Vol 2002.40 (0) ◽  
pp. 335-336
Author(s):  
Wenlong Zhang ◽  
Masao IMAEDA ◽  
Kyoji HASHIMOTO
Keyword(s):  
Predictive Control ◽  
Temperature Control ◽  
Distillation Column ◽  
Control Method ◽  
Generalized Predictive Control

Temperature Control in Distillation Column Using Generalized Predictive Control Method

2003 ◽  
Vol 29 (4) ◽  
pp. 541-545 ◽  
Author(s):  
Zhang Wenlong ◽  
Masao Imaeda ◽  
Kyouji Hashimoto ◽  
Takaaki Kanbe ◽  
Hirofumi Hattori
Keyword(s):  
Predictive Control ◽  
Temperature Control ◽  
Distillation Column ◽  
Control Method ◽  
Generalized Predictive Control

Design of a Temperature Control System Based on Generalized Predictive Control

2015 ◽  
Vol 713-715 ◽  
pp. 897-900
Author(s):  
Yun Feng Peng ◽  
Chang Shu ◽  
Xiang Lin Tan ◽  
Zhi Chao Shao
Keyword(s):  
Control System ◽  
Predictive Control ◽  
Temperature Control ◽  
Pid Control ◽  
Control Method ◽  
Inertial Navigation ◽  
Temperature Control System ◽  
Generalized Predictive Control ◽  
Matlab Simulation

According to the unsatisfied control result in a military inertial navigation platform,a control method combined with generalized predictive control and PID control is proposed,accurate control can be realized in terms of time and temperature. MATLAB simulation is given to illustrate that this method satisfies expected requirements well,and is feasible and available.

scholarly journals Adaptive Air-Fuel Ratio Regulation for Port-Injected Spark-Ignited Engines Based on a Generalized Predictive Control Method

Energies ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 173 ◽  
Author(s):  
Lei Meng ◽  
Xiaofeng Wang ◽  
Chunnian Zeng ◽  
Jie Luo
Keyword(s):  
Predictive Control ◽  
Noise Suppression ◽  
Control Method ◽  
Simulation Analysis ◽  
Catalytic Converter ◽  
Exhaust Emission ◽  
Generalized Predictive Control ◽  
Si Engine ◽  
Fuel Ratio ◽  
Wall Wetting

The accurate air-fuel ratio (AFR) control is crucial for the exhaust emission reduction based on the three-way catalytic converter in the spark ignition (SI) engine. The difficulties in transient cylinder air mass flow measurement, the existing fuel mass wall-wetting phenomenon, and the unfixed AFR path dynamic variations make the design of the AFR controller a challenging task. In this paper, an adaptive AFR regulation controller is designed using the feedforward and feedback control scheme based on the dynamical modelling of the AFR path. The generalized predictive control method is proposed to solve the problems of inherent nonlinearities, time delays, parameter variations, and uncertainties in the AFR closed loop. The simulation analysis is investigated for the effectiveness of noise suppression, online prediction, and self-correction on the SI engine system. Moreover, the experimental verification shows an acceptable performance of the designed controller and the potential usage of the generalized predictive control in AFR regulation application.

APPLICATION OF MULTIVARIABLE GENERALIZED PREDICTIVE CONTROL TO A PACKED DISTILLATION COLUMN

1999 ◽  
Vol 174 (1) ◽  
pp. 61-84 ◽  
Author(s):  
H. HAPOGˇLU ◽  
S. KARACAN ◽  
Y. CABBAR ◽  
C. E. BALAS ◽  
M. ALPBAZ*
Keyword(s):  
Predictive Control ◽  
Distillation Column ◽  
Generalized Predictive Control ◽  
Packed Distillation Column

Cooperation-Based Explicit Distributed Model Predictive Control

2013 ◽  
Vol 380-384 ◽  
pp. 707-711 ◽  
Author(s):  
Guo Qi Zhong ◽  
Zhi Yuan Liu
Keyword(s):  
Linear System ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Distillation Column ◽  
Control Method ◽  
Parametric Programming ◽  
Distributed Model ◽  
Control Information ◽  
Distributed Model Predictive Control ◽  
Global Cost

in this paper, an explicit distributed model predictive control method for a class of linear system with control information coupling by means of multi-parametric programming is established. In order to get close to the optimal performance of centralized MPC, the method is based on cooperation, which solving weighted global cost instead of local ones. The method is employed on distillation column control problem to verify the efficiency.

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