Logical-Linguistic Model for Reactor Cleaning from Impurities

Melikov, E. A.; Magerramova, T. M.; Safarova, Aygun

doi:10.1007/978-3-031-25252-5_44

Cited by 4 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Information management and data transmission systems are becoming increasingly important in the oil refining complex functioning, which is explained by the intensive development of digital technology and information processing methods. In this regard, it is very advisable to use mathematical modeling methods in solving analysis and synthesis problems for oil refining technological processes, as well as in problems of constructing control systems for these processes [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Features of modelling in automation for the primary oil refining technological process

Safarova,

Melikov,

Magerramova

2024

Third International Conference on Digital Technologies, Optics, and Materials Science (DTIEE 2024)

View full text Add to dashboard Cite

In the presented article, problems associated with the modeling features in automation and control of processes occurring in a primary oil refining technological installation are studied and investigated. In the article, when solving the modeling problem, special attention is paid to the problem of increasing the completeness of the received information used for processing, and in this connection, based on an active experiment, the “noise” characteristics inherent to the main indicators of the technological process under study are determined. It also addresses issues related to the correlation regression analysis features and the basic principles of designing an optimal filter that ensures the necessary cleaning of the received information from harmful interference and noise inherent in information communication lines. The article proposes an adaptive filter with an adaptation algorithm, which, analyzing the current state of the process under study and taking into account the disturbing influences constantly acting on the technological process, promptly corrects the optimal tuning parameters of the filter, minimizing distortion of the useful signal for the automatic control system.

show abstract

Section: Introductionmentioning

confidence: 99%

Features of modelling in automation for the primary oil refining technological process

Safarova,

Melikov,

Magerramova

2024

Third International Conference on Digital Technologies, Optics, and Materials Science (DTIEE 2024)

View full text Add to dashboard Cite

show abstract

Principles of modeling and optimal control of a fraction purification reactor from micro impurities

Safarova,

Melikov,

Magerramova

2024

AIP Conference Proceedings

View full text Add to dashboard Cite

Control Problem for a Vacuum Technological Complex

Melikov

2024

Eurasian phys. tech. j.

View full text Add to dashboard Cite

Based on a comprehensive study of technological processes occurring in the vacuum block for an installation of the ELOU-AVT type, the features for the complex technological complex under consideration as a control object were analyzed. In this regard, a physically based mathematical formulation for the optimal control problem of the block under study has been developed, taking into account restrictive conditions on control and input parameters. Taking into account the compiled mathematical models for the quantitative and qualitative characteristics of the process under consideration and the algorithm for their gradient adaptation, to numerically solve the problem of optimizing the functioning for this block, the classical Lagrange method multipliers is used, which allows the transition from the problem of a conditional extremum to the problem of finding the unconditional extremum for the constructed Lagrange function. This method, as well as the proposed algorithm and control principles, were applied for the first time to the vacuum block of the primary oil refining installation of the ELOU-AVT type under study. In wide range conditions of changes in input disturbing factors in quantity and quality, as well as insufficient operational quality information on the selected petroleum products, the proposed method and principles of development algorithm for controlling the process under study allows for prompt preliminary local regulation modes correction and the selection of new optimal modes for adaptive control as a whole. This circumstance leads to an increase in the economic production efficiency and the achievement of the greatest stability in the quality for the resulting target products.

show abstract

Logical-Linguistic Model for Reactor Cleaning from Impurities

Cited by 4 publications

References 5 publications

Features of modelling in automation for the primary oil refining technological process

Features of modelling in automation for the primary oil refining technological process

Principles of modeling and optimal control of a fraction purification reactor from micro impurities

Control Problem for a Vacuum Technological Complex

Contact Info

Product

Resources

About