Networked Communication Information Transmission System Based on Intelligent Optimization Algorithm

Abstract

With the rapid development of networked control technology, networked control has become one of the important research directions in the current automatic control field. Although the networked control system has many advantages such as cost saving and modular design, due to the limited communication capability of the network, the performance of the networked control system will be deteriorated, and even system instability will be caused. The network communication transmission system under the intelligent optimization algorithm proposed in this paper provides an effective way to solve these problems. The research on the network communication information transmission system mainly focuses on exploring effective control methods to overcome the above-mentioned network-induced defects. This paper will discuss the network communication ability under the change of the stability of the intelligent optimization control system as well as the filtering problems. In practice, the degree of these network induced defects varies, which is embodied in the change of quantization density and the change of network parameters caused by switching between main channel and redundant channel. These dynamics bring new challenges to the analysis and synthesis of networked control systems. The final results show that when the network bandwidth is 1MHZ, the error of communication 1 is 16.79%, and that of communication 2 is 11.41%; when the network bandwidth is 2MHZ, the error of communication 1 is 12.56%, and that of communication 2 is 10.63%. It can be seen that the performance is affected by the channel bandwidth of the system. The wider the network bandwidth, the smaller the optimal tracking error, the smaller the quantization interval, the better the system performance.