Open AccessThe Use of a Neurocontroller in a Multi-Mode Air Supply Control System at Agricultural and Industrial Facilities
Author(s) -
В. Ф. Лубенцов,
E. A. Shakhray,
Е. В. Лубенцова,
G V Masyutina,
A T Rostova
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/852/1/012060
Subject(s) - feed forward , matlab , gas compressor , air compressor , artificial neural network , aeration , feedforward neural network , computer science , control theory (sociology) , pid controller , mode (computer interface) , control system , control engineering , control (management) , automotive engineering , engineering , artificial intelligence , temperature control , mechanical engineering , electrical engineering , waste management , operating system
The possibility of using a neurocontroller to control the aeration mode in the air supply circuit with a compressor unit has been investigated. The control algorithm is implemented using a multi-layer feedforward neural network. The control object model in the study included a frequency converter, motor and compressor. The analysis of the properties of the system was carried out by evaluating the obtained transients using MATLAB. The results showed that the system has high quality indicators in stabilization and programmed control modes.