The Research of Furnace Temperature Control Technology Based on Model Free Adaptive Control System

2014 ◽  
Vol 596 ◽  
pp. 580-583
Author(s):  
Jian Chen ◽  
Xue Han

According to the analysis of furnace temperature control, a new control process which is based on the technique of model free adaptive control, is proposed against the defects of traditional control system. Through the analysis of the characters of MFAC and its utility for continuous and non-linear multivariable control system of glass furnace, a satisfied result indicates the good application of MFAC on temperature control of glass furnace.

2014 ◽  
Vol 608-609 ◽  
pp. 484-488
Author(s):  
Ze Min Liu

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.


2012 ◽  
Vol 43 (5) ◽  
pp. 683-695 ◽  
Author(s):  
Yury Grigoryevich Zhivov ◽  
Alexander Mikhaylovich Poedinok

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