The use of a neurocontroller in a multi-mode air supply control system at agricultural and industrial facilities

Abstract

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.