Improving the management quality of the process control in the food and agricultural industries

Abstract

Abstract The work focuses on analyzing the modern process control systems in the food and agricultural industries for improving management quality. Computer simulation of the control systems with a network channel for transmitting information was carried out for various volumes of data buffers for system elements. The subject of the investigation is to study the effect of data buffering on the quality of process control for systems with a limited buffer volume for data packets. It is assumed that the transmission of a data packet over a network channel during the quantization period is carried out with a given probability. If the data packet from the digital sensor is not transmitted in one quantization cycle to the controller, then it is placed in the sensor buffer. When data is transmitted over the channel, all packets from the sensor buffer are transferred to the controller buffer. The controller processes the incoming data from the buffer sequentially–one packet per quantization cycle. For simulate such situations, it was proposed to use the corresponding developed random processes. The innovation of the developed simulation models is in the fact that the development of the simulation models is based on modelling the time gap of the information data stream. Modelling the functioning of the network control system was carried out in the Simulink environment of the Matlab system.