Abstract
This paper presents a dynamic optimization solution for the data packet-based communication of programmable logic controller (PLC) visual monitoring, and the objective is to improve the communication efficiency between a supervisory computer and field PLCs in consideration of the network communication performance, such as network bandwidth, packet loss or retransmission rate, and human response delay. A nonlinear optimization model with constraints is formulated and solved analytically to obtain the minimized transmission time. Experimental results demonstrate that the proposed dynamic optimization can solve the practical industry problem in an efficient and effective manner, and it can provide useful guidance for the data packet-based communication setting of networked control systems.
Highlights
Networked control systems (NCSs) have been the development trend of modern control systems in both academics and industry in the past decades [1,2,3]
This paper aims to investigate a monitoring scenario between supervisory computers and field programmable logic controller (PLC), and optimize the data typical visual monitoring scenario between supervisory computers and field PLCs, and packet size of communication dynamically in order to meet the real-time requirement of human optimize the data packet size of communication dynamically in order to meet the real-time visual response
This paper proposed a dynamic packet optimization solution for the data packet-based communication of PLC visual monitoring in the context of networked control systems
Summary
Networked control systems (NCSs) have been the development trend of modern control systems in both academics and industry in the past decades [1,2,3]. The network-connected hardware devices and software systems can reduce the cost of operation and maintenance and improve the operational performance. A real-time online specialist’s diagnosis can immediately help field engineers to adjust the plant operations [4,5]. Networked control monitoring systems using programmable logic controllers (PLCs) are among typical industry applications. Sekar et al designed a PLC-based discrete automated system for remote diagnosis. Sabu et al proposed online monitoring of PLC-based pressure control system [6]. Priyanka et al designed a new PLC based fuzzy-PID controller for automatically regulating the flowrate of petroleum transmitting pipelines [7]
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