
Decomposition algorithm and mathematical models of hierarchical structure of control of the process of primary oil processing
Author(s) -
E. A. Melikov
Publication year - 2018
Publication title -
rozvìdka ta rozrobka naftovih ì gazovih rodoviŝ
Language(s) - English
Resource type - Journals
eISSN - 2415-332X
pISSN - 1993-9973
DOI - 10.31471/1993-9973-2018-2(67)-75-82
Subject(s) - lagrange multiplier , decomposition , mathematical optimization , computer science , process (computing) , probabilistic logic , algorithm , optimal control , transformation (genetics) , mathematics , artificial intelligence , chemistry , operating system , ecology , biochemistry , gene , biology
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.