A Mill Control System Based on GA-BP Network for Output Prediction

2022 ◽  
pp. 82-91
Author(s):  
Hongwei Ren ◽  
Sheng Zheng ◽  
Xinyu Li
Keyword(s):  
Control System ◽  
Bp Network ◽  
Mill Control

Research of Model-Free Adaptive Control System Based on Neural Network

2014 ◽  
Vol 608-609 ◽  
pp. 484-488
Author(s):  
Ze Min Liu
Keyword(s):  
Neural Network ◽  
Adaptive Control ◽  
Control System ◽  
Nonlinear Problems ◽  
Adaptive Control System ◽  
Industrial Control ◽  
Bp Network ◽  
Model Free ◽  
The Neural Network ◽  
Positive Effect

With the development of industry, the control system is more and more complex. For the nonlinear problems which can’t be solved by the traditional linear control system used now, it uses the model-free adaptive control system based on the neural network to effectively solve them. In this paper, it firstly makes a detailed analysis on the neural network, describing the neuron, the BP network and the training of neural network; then talks about the model-free adaptive control system, analyzing the structure, characteristics and algorithm of the system; and finally gives the core code of the model-free adaptive control system of the neural network. This paper provides positive effect to the industrial control staff and artificial intelligence researchers.

The Design of Ball Mill Control System Base on Two-Cell Immune Controller

2011 ◽  
Vol 308-310 ◽  
pp. 1106-1110
Author(s):  
Gui Li Yuan ◽  
Yan Guang Xue
Keyword(s):  
Control System ◽  
Ball Mill ◽  
Dynamic Performance ◽  
Thermal Power ◽  
Engineering Application ◽  
Fast Response ◽  
Control Effect ◽  
Immune Control ◽  
Static Performance ◽  
Mill Control

Currently, Ball Mill is most used coal grinding equipment of pulverizing system of thermal power plant in China. Because of this system is multivariable, strong-coupling and serious time-delay, and it also has nonlinear, time-varying and distributed parameter characteristics. It is naturally difficult to be effective for such kind system to use PID regulation law and design multi-variable system by single-loop. So try more intelligent control for this kind system. Immune Control has fast response and robustness, especially; the Two-cell Immune Control has integration and memory characteristics, and improve the system to better control effect. It is particularly suitable for solving practical engineering application problems with robustness, adaptability and requirements of dynamic performance. So this paper use Two-cell Immune Control for the Ball Mill Control System, and make a large number of simulation experiments about rated parameter, non-rated parameter and adding disturbance situation, it has made a good dynamic and static performance under various conditions. These results confirm the validity of the design of Ball Mill Control System base on Two-cell Immune Controller.

Research on the Control System of Car’S Power Supply

2012 ◽  
Vol 241-244 ◽  
pp. 1982-1986
Author(s):  
Kuan Gang Fan ◽  
Hong Qiao ◽  
Wen Yong Jia ◽  
Ying Fei Sheng
Keyword(s):  
Control System ◽  
Wavelet Analysis ◽  
Electromagnetic Radiation ◽  
Power Supply ◽  
Power Output ◽  
Electromagnetic Interference ◽  
Switching Circuit ◽  
Bp Network ◽  
Power Switches ◽  
Interference Circuit

There are different voltages in car electrical parts, and power switches are achieved by pushing. Electromagnetic radiation which is caused by switches has a great effect on the test components and close power. The voltage caused by Electromagnetic interference could be up to 20V. Controlling panel is established by LabView and power is controlled by Matlab. The test of Car electrical parts is achieved by power. Power output is controlled by panel. Wavelet analysis is used for graphics. Collecting data is more reliable through the BP Network. The error is reduced by 30%. Amplification circuit, anti-mixing and interference circuit and triode switching circuit are designed for remote controlling power and reducing electromagnetic radiation. It raises anti-interference ability. Electromagnetic radiation is mainly focused on 0-60MHz from experiments. According to this frequency brand, we adopted measures for reducing electromagnetic radiation by 8.6dB.

scholarly journals Design and Realization Of Roller Mill Control System

2012 ◽  
Vol 33 ◽  
pp. 437-443
Author(s):  
QianHong Wang ◽  
Qiang Zhang ◽  
XiaoLi Bai ◽  
HongLiang Yu
Keyword(s):  
Control System ◽  
Roller Mill ◽  
Mill Control

DSPACE Implication of HILS for Mill Control System

2012 ◽  
Vol 233 ◽  
pp. 123-130
Author(s):  
Wei Zhang ◽  
Yu Ming Wang
Keyword(s):  
Control System ◽  
Real Time ◽  
Rolling Mill ◽  
Closed Loop ◽  
Object Model ◽  
The Real ◽  
Experimental Platform ◽  
Time Simulation ◽  
Time Test ◽  
Mill Control

Dspace HILS platform is used to realize the real-time test of the mill control system.In this platform, a real controller is the part of the control system. DSPACE real-time simulation and computer real-time running control the object model to virtual out a rolling mill, which realizes the mill the real-time closed-loop test of control system.Yanshan University 300 reversible rolling mill as the object of experimental platform is established and verifies the feasibility and validity of the simulation platform.

Design of PID Temperature Control System Based on BP Neural Network

2014 ◽  
Vol 602-605 ◽  
pp. 1244-1247
Author(s):  
Zhi Yong Meng ◽  
Guo Qing Yu ◽  
Rui Jin
Keyword(s):  
Neural Network ◽  
Control System ◽  
Temperature Control ◽  
Bp Neural Network ◽  
Pid Controller ◽  
Simulation Analysis ◽  
Nonlinear Function ◽  
Temperature Control System ◽  
Bp Network ◽  
Pid Algorithm

Based on BP neural network PID controller has the ability to approximate any nonlinear function, can achieve real-time online tuning PID controller parameter . Through the system simulation analysis, simulation results show that the BP neural network tuning PID control than traditional PID algorithm and BP network algorithm has a greater degree of improvement, the system has better robustness and adaptability, its output can also achieve the desired control accuracy through online adjustments. Suitable for temperature control system.

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