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Hierarchical system of fuzzy regulation of acetylene production process by oxidative pyrolysis of natural gas
Author(s) -
Galina Sanaeva,
A. E. Prorokov,
В.Н. Богатиков,
D. P. Vent
Publication year - 2020
Publication title -
vestnik astrahanskogo gosudarstvennogo tehničeskogo universiteta. seriâ: upravlenie, vyčislitelʹnaâ tehnika i informatika
Language(s) - English
Resource type - Journals
eISSN - 2224-9761
pISSN - 2072-9502
DOI - 10.24143/2072-9502-2020-1-7-17
Subject(s) - process (computing) , computer science , control (management) , production (economics) , fuzzy logic , control system , work (physics) , state (computer science) , fuzzy control system , process engineering , reliability engineering , risk analysis (engineering) , engineering , algorithm , mechanical engineering , business , artificial intelligence , electrical engineering , economics , macroeconomics , operating system
The paper describes a complex chemical-technological system of producing acetylene by oxidative pyrolysis of natural gas, for which ensuring technological safety is a prerequisite for its functioning. There have been discussed the ways of developing a control system for this process while ensuring its technological safety based on the definition of its area and security center. A two-level control option is proposed, in which the upper level performs dynamic correction of the tasks of the regulators of the local contours of the lower level, taking into account the safety requirements. The approach using the fuzzy logic apparatus to implement the work of the upper level of the control system in order to increase the technological safety of the process is proposed. The algorithm of the upper level of the control system is presented taking into account the frequency of obtaining information about the state of the process. To prevent an emergency in the intervals between obtaining information about the state of the process, it is proposed to use a mathematical model of the process with periodic adjustment of the input data used for calculations. The proposed version of the control system can reduce the number of emergency stops of the process, which will lead to saving resources and reducing environmental pollution.

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