A neural network predictive control method for power control of small pressurized water reactors

2022 ◽  
Vol 169 ◽  
pp. 108946
Author(s):  
Kai Xiao ◽  
Qiaofeng Wu ◽  
Jie Chen ◽  
Xiaofei Pu ◽  
Ying Zhang ◽  
...  
Keyword(s):  
Neural Network ◽  
Power Control ◽  
Predictive Control ◽  
Control Method ◽  
Pressurized Water Reactors ◽  
Pressurized Water ◽  
Water Reactors ◽  
Neural Network Predictive Control

Hot Blast Stove Temperature Control System Based on Neural Network Predictive Control

2014 ◽  
Vol 709 ◽  
pp. 281-284 ◽  
Author(s):  
Yao Wu Tang ◽  
Xiang Liu
Keyword(s):  
Neural Network ◽  
Control System ◽  
Predictive Control ◽  
Control Method ◽  
Delay System ◽  
Temperature Control System ◽  
Control Effect ◽  
Rolling Optimization ◽  
Hot Blast ◽  
Neural Network Predictive Control

Chain type coal-fired hot blast furnace boiler has a strong coupling, large delay, large inertia characteristics. Control effect of control method of mathematic modeling method and the classical routine of it is very difficult to produce the ideal. The predictive control theory combined with neural network theory. Through the model correction and rolling optimization control method of the system is good to overcome the effects of model error and time-varying process. The experimental results showed that neural network predictive control system is improved effectively the static precision and dynamic characteristic. It has better practicability of boiler temperature of this kind of large time delay system.

Neural Network Predictive Control Method of Sand Mixing Device

2018 ◽  
Vol 16 (6) ◽  
Author(s):  
Meiqiu Li ◽  
Yuanhua Zhou ◽  
Ye Tian ◽  
Bangxiong Wu
Keyword(s):  
Neural Network ◽  
Predictive Control ◽  
Control Method ◽  
Neural Network 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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