scholarly journals MODEL PREDICTIVE CONTROL BASED ON FUZZY SYSTEM, APPLICATION FOR A CONTINUOUS STIRRED TANK REACTOR (CSTR)

2010 ◽  
Vol 13 (1) ◽  
pp. 16-23
Author(s):  
Tuan Quang Tran ◽  
Minh Xuan Phan
Keyword(s):  
Fuzzy Model ◽  
Stirred Tank ◽  
Continuous Stirred Tank Reactor ◽  
Stirred Tank Reactor ◽  
Tank Reactor ◽  
Predictive Controller ◽  
Continuous Stirred Tank ◽  
Takagi Sugeno ◽  
Predictive Controllers

The paper presents one method to design the Model Predictive Controller based on Fuzzy Model. The Plant is simulated by Takagi-Sugeno Fuzzy Model and the Optimisation Problem is solved by the Genetic Algorithms. By using the Fuzzy Model and Genetic Algorithm this MPC gives better quality than the other General Predictive Controllers. The case study of a continuous stirred tank reactor (CSTR) control is presented in this paper.

Control of Continuous Stirred Tank Reactor Using Artificial Neural Networks Based Predictive Control

2012 ◽  
Vol 550-553 ◽  
pp. 2908-2912 ◽  
Author(s):  
Ginuga Prabhaker Reddy ◽  
G. Radhika ◽  
K Anil
Keyword(s):  
Neural Network ◽  
Neural Network Model ◽  
Stirred Tank ◽  
Continuous Stirred Tank Reactor ◽  
Model Predictive Controller ◽  
Stirred Tank Reactor ◽  
Tank Reactor ◽  
The Neural Network ◽  
Predictive Controller ◽  
Continuous Stirred Tank

In this work, a Neural network based predictive controller is analyzed to a non linear continuous stirred tank reactor (CSTR) carrying out series and parallel reactions: A→B→C and 2A→D. In the first step, the neural network model of continuous stirred tank reactor is obtained by Levenburg- Marquard training. The data for the training the network is generated using state space model of continuous stirred tank reactor. The neural network model of continuous stirred tank reactor is used in model predictive controller design. The performance of present neural network based model predictive controller (NNMPC) is evaluated through simulations for servo & regulatory problems of CSTR. The performance of neural network based predictive controller is found to be superior than conventional PI controller for setpoint tracking problems.

FUZZY PREDICTIVE CONTROL: CONTINUOUS STIRRED–TANK REACTOR CASE STUDY

2002 ◽  
Vol 35 (1) ◽  
pp. 91-96
Author(s):  
Marko Lepetič ◽  
Igor Škrjanc ◽  
José Luis Figueroa ◽  
Drago Matko ◽  
Sašo Blažič
Keyword(s):  
Predictive Control ◽  
Stirred Tank ◽  
Continuous Stirred Tank Reactor ◽  
Stirred Tank Reactor ◽  
Tank Reactor ◽  
Continuous Stirred Tank ◽  
Fuzzy Predictive Control

Multiple steady states in a continuous stirred tank reactor: an experimental case study for hydrolysis of sucrose by invertase

2004 ◽  
Vol 39 (12) ◽  
pp. 2179-2182 ◽  
Author(s):  
J. Vásquez-Bahena ◽  
M.C. Montes-Horcasitas ◽  
J. Ortega-López ◽  
I. Magaña-Plaza ◽  
L.B. Flores-Cotera
Keyword(s):  
Steady States ◽  
Stirred Tank ◽  
Multiple Steady States ◽  
Continuous Stirred Tank Reactor ◽  
Stirred Tank Reactor ◽  
Tank Reactor ◽  
Continuous Stirred Tank ◽  
Hydrolysis Of
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