Open AccessComputational technologies for the synthesis of decentralized control systems for multistage technological processes
Author(s) -
Николай Михайлович Оскорбин
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1615/1/012020
Subject(s) - process (computing) , computer science , automation , control (management) , set (abstract data type) , industrial engineering , process control , dynamic programming , basis (linear algebra) , control system , control engineering , distributed computing , mathematical optimization , operations research , engineering , mathematics , algorithm , artificial intelligence , mechanical engineering , geometry , electrical engineering , programming language , operating system
This article discusses the development of two-level hierarchical control systems for complex technological processes. This area of research relates to the problems of creating robotic complexes as part of automation systems for managing continuous multi-stage processes according to economic criteria. For the synthesis of decentralized systems of optimal control of processes with a sequential structure, it is recommended to use the dynamic programming method, which allows providing optimal coordinating solutions and justify the setting of local tasks for managing the stages of the technological process, provided that the current states of the input products of these stages are accurately or approximately observed. For an n-stage technological process in conditions of complete information, the problem of a coordinating subsystem is written, the solutions of which do not change for a set of values of input variables of the process and the time period of constancy of external and internal perturbations. It is shown that the implementation of algorithms for controlling individual stages of the process can be performed on the basis of microprocessor technology. Estimates of control error were obtained using a simulation model of a process control system with specified parameters. The article considers the possibility of applying the dynamic programming method in the management of multi-stage technological processes in conditions of incomplete information.