Nonstationary multistage process control in the petrochemical industry

Guseinov, I. A.; Kurbanov, Z. G.; Melikov, E. A.; Efendiev, A. I.; Efendiev, I. R.

doi:10.1134/s1064230714030095

Cited by 5 publications

(3 citation statements)

References 1 publication

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“…In order to formulate the optimization problem in practice and select the optimal equation, the entire production process is taken into account collectively, and each of its sections (procedures) is considered separately (Guseinov, Kurbanov, and Melikov, 2014).…”

Section: Existing Solutionsmentioning

confidence: 99%

Heuristic Approach to Planning Complex Multi-Stage Production Systems

Pospelov,

Vatamaniuk,

Lundaeva

et al. 2023

IJTech

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The paper describes an algorithm for finding a quasi-optimal production plan for complex production systems that involve moving products through a chain of linked processes with varying resource sets. The general problem of optimizing a network of manufacturing enterprises is considered: a set of enterprises producing homogeneous products is modeled during a process consisting of a set of sequential operations arranged in a strict sequence. Standard methods for solving production planning problems are considered. According to the analytical review, most planning tasks in such systems are resolved using original techniques. For this reason, a universal heuristic algorithm was proposed. An algorithm with two branches is also proposed for two cases: for the case of a known constraint in the system and for an alternative case. The algorithm is focused on application in production systems in which the acquisition of empirical data is complicated by the large volume, heterogeneity, and limited reliability of data. In such systems, quasi-optimization in accordance with the proposed algorithm will allow for obtaining a satisfactory result with the permissible and required computing power. The algorithm can be classified as a greedy algorithm. It is partly based on local optimization and performs well for production with a long cycle and a small number of products. For this reason, the approach is recommended for heavy industry, shipbuilding, aircraft manufacturing, and other productions with a long cycle.

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Section: Existing Solutionsmentioning

confidence: 99%

Heuristic Approach to Planning Complex Multi-Stage Production Systems

Pospelov,

Vatamaniuk,

Lundaeva

et al. 2023

IJTech

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“…As is known, one of the initial and important stages of creating technological process control systems is the development of their mathematical models. Mathematical modeling is a very effective tool for determining optimal control parameters [4][5][6][7]. In this case, the control parameters determination can be carried out by calculating a mathematical model of the object in a wide external disturbing influences range.…”

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)

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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.

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“…За последние примерно 20-25 лет опубликованы весомые научные статьи, монографии, диссертации, связанные с разработкой как теоретических, так и практических сторон алгоритмического обеспечения для систем оптимального управления нефтеперерабатывающими и нефтехимическими технологическими процессами [2,3]. В частности, проблемам алгоритмизации оптимального управления и создания на их базе системы оптимального управления сложными нефтехимическими технологическими процессами, описываемыми детерминированными и нечеткими моделями посвящен ряд научных публикаций [4,5].…”

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Decomposition algorithm and mathematical models of hierarchical structure of control of the process of primary oil processing

Melikov¹

2018

RRNGR

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The article considers the development of deterministic and probabilistic models and control algorithm for the technological process of primary oil processing, as well as the solution of the problem of optimal control in the form of stochastic programming. To solve the problem of optimization of the researched technological system functioning by means of the Lagrange multiplier method, the decomposition algorithm and a method based on the transformation of the original problem on the principle of a deterministic analog have been developed. The principles of constructing an optimal control system based on the developed models, the optimization algorithm and the elements of automatic regulation of the regime parameters of the primary oil refining unit are proposed.

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Nonstationary multistage process control in the petrochemical industry

Cited by 5 publications

References 1 publication

Heuristic Approach to Planning Complex Multi-Stage Production Systems

Heuristic Approach to Planning Complex Multi-Stage Production Systems

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

Decomposition algorithm and mathematical models of hierarchical structure of control of the process of primary oil processing

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