Adaptive neural network model based nonlinear predictive control of a fluid catalytic cracking unit

2000 ◽  
pp. 235-240 ◽  
Author(s):  
Z. Nagy ◽  
S. Agachi ◽  
L. Bodizs
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Predictive Control ◽  
Neural Network Model ◽  
Catalytic Cracking ◽  
Fluid Catalytic Cracking ◽  
Adaptive Neural Network ◽  
Model Based ◽  
Nonlinear Predictive Control

Constant Cutting-Power Control of Shearer Based on Neural Network Model Predictive Control

2013 ◽  
Vol 823 ◽  
pp. 340-344
Author(s):  
Yuan Hua Zhou ◽  
Hong Wei Ma ◽  
Hai Yan Wu ◽  
You Jun Zhao
Keyword(s):  
Neural Network ◽  
Power Control ◽  
Network Model ◽  
Predictive Control ◽  
Neural Network Model ◽  
Control Method ◽  
Cutting Power ◽  
Nonlinear Predictive Control ◽  
The Neural Network ◽  
And Control

To solve the problem of constant power control of shearer cutting machine, the nonlinear predictive control method based on Neural Network was proposed in this thesis. In the method, the cutting current was used to identify the cutting load, and the Neural Network was used to predict and control the traction speed. A Neural Network model was built by the current and speed to control the cutting power of shearer. In MATLAB, the field data was used to simulate and the simulation verify the proposed scheme is better than PID method.

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