Open AccessDevelopment of the automatic supervisory control system based on fuzzy inference
Author(s) -
Л. А. Денисова,
D. M. Alekseytsev,
V. A. Meshcheryakov
Publication year - 2019
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 - 10.1088/1742-6596/1260/3/032010
Subject(s) - supervisory control , matlab , control engineering , fuzzy logic , computer science , fuzzy inference system , fuzzy control system , adaptive neuro fuzzy inference system , excavator , control system , control theory (sociology) , control (management) , engineering , artificial intelligence , operating system , mechanical engineering , electrical engineering
The development of the supervisory control system designed to ensure the automatic stabilization of the petroleum processing parameters in a multi-flow furnace is considered. The structure of the subsystem that generates the setpoints of the local flow controllers in order to optimize technological processes is proposed. The supervisory subsystem is designed to minimize two criteria of the controlled values. The genetic algorithm is used to tune the parameters of the fuzzy inference based supervisory subsystem. The description of the system implementation based on intelligent controllers is suggested as well as the results of system simulation in MATLAB.