Automatic control system of natural gas volume imbalance based on the neuro-fuzzy model

Author(s):  
Zh.A. Dayev ◽  
◽  
N.Z. Sultanov ◽  
1972 ◽  
Vol 29 (8) ◽  
pp. 543-544
Author(s):  
Yu. A. Knyazev ◽  
V. A. Ampleev ◽  
N. P. Korobkin

2015 ◽  
Vol 1084 ◽  
pp. 661-665
Author(s):  
Ekaterina P. Zelenetskaya ◽  
Alexey G. Goryunov

The paper provides a control system of the cascade of centrifugal extractors. This system is based on a conventional PID controller with elements of neuro-fuzzy logic for on-line tuning system. Neural networks used with fuzzy logic in an automatic control system allowed minimizing the negative impacts of human factor on the purification processes of uranium concentrates. The current system ensures the advanced control of a cascade and stabilization of the uranium concentration at the permissible industrial levels.


2020 ◽  
Vol 11 (87) ◽  
Author(s):  
Mykhailo Vasyliev ◽  
◽  
Oleksandr Brunetkin ◽  

First of all, such a topic as compressors for liquefaction of natural gas is unfortunately not very well studied. Therefore, this publication will present a detailed study of this object. First of all, the object itself will be considered, what it consists of, what its properties are, how natural gas liquefaction processes take place in it. So first you need to fully study the object itself, and only then proceed to build its mathematical model, which in the future can be used for more detailed analysis, first theoretically and then for practical purposes. This will achieve great results in the construction of an automatic control system for the compressor for liquefaction of natural gas. So, first the object itself will be studied, and only then, based on the acquired knowledge, we will build a mathematical model that will be needed in the future to develop an automatic control system. Of course, if you do not fully study all the properties of the object, such as the physical processes that take place there and the properties of the compressor. And having already put together all the available information, we can have a complete picture of this object. And from this information that has been collected, we can finally move on to the development of a more detailed mathematical model, which will be, albeit simplified, but still close to reality. Only then, already having this mathematical model, you can move on to a more detailed study in theory. And after conducting theoretical research, it is possible to check all the results of the study on a mathematical model, which will help to understand whether they are effective. Because it is more profitable to check theoretical information on a mathematical model than to do it on a real object. This can be costly, and in the case of an installation such as a natural gas liquefaction compressor, it is very expensive. And therefore this mathematical model will be appropriate. This model can be used in a more detailed study of this object because at the moment there is no holistic picture for the dagono object. It will also be possible to apply this model to find the necessary laws of regulation which will help to increase productivity of the compressor installation for liquefaction of natural gas. And this model will help to solve this question and to establish full-fledged work on studying of the given compressor installation.


2003 ◽  
Vol 3 ◽  
pp. 297-307
Author(s):  
V.V. Denisov

An approach to the study of the stability of non-linear multiply connected systems of automatic control by means of a fast Fourier transform and the resonance phenomenon is considered.


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