Improving the quality of network management of technological processes

Abstract

Modern control systems use digital networks for data transmission. Such systems have random delays and loss of data packets. The aim of the research is to study the impact of data buffering on the quality of process control focusing on systems with a limited buffer volume for data packets by simulation modeling and compensation of this influence using the Smith predictor. A distinctive feature of the proposed solution is the compensation for accidental delay. To improve the network management quality of technological processes, the authors proposed to use the Smith predictor. The Smith predictor includes a model of the object and a buffer for data packets. The buffer is used to generate a random delay time. Its operation is determined by the mode of data transmission over the network channel. The simulation of the functioning of the network control system was performed in the Simulink environment of the Matlab system. The novelty of the developed simulation model lies in the fact that its development is based on modeling the time break of the information flow. The simulation was carried out for the volumes of data packet buffers ranging from 1 to 5 and the probability of data transmission ranging from 0.9 to 0.4. The results of the study proved that the use of the Smith predictor to compensate for random delay significantly increases the quality of transients of network control systems. It is shown that the use of the Smith predictor significantly improves the quality of network systems. The developed simulation models can be used in the design of new networked control systems and in the modernization of the systems already used in practice.