Title Eterneto pramoninių valdymo tinklų topologijų tyrimas /
Translation of Title Research of industrial ethernet control network topologies.
Authors Nuobaras, Tomas
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Pages 65
Keywords [eng] real-time control networks ; ethercat ; profinet
Abstract [eng] This paper investigates real-time Ethernet branch EtherCAT and PROFINET industrial control networks. When designing large and complex industrial control systems, it is very important to ensure the minimum possible response time. In complex systems with many positioning devices e.g., manipulators, various actuators, in case of excessive response time, there are problems with positioning accuracy, so when designing such systems, it is important to know how the response time varies in different communication buses depending on the number of controlled devices used, bus connection type and data transfer rate. The scientific literature analysis part of this work analyzes scientific sources related to real-time EtherCAT and PROFINET control networks. Based on the data found in the scientific articles, the methods of connecting these two control networks are described, formulas characterizing the network speed are given, and the protocols based on which these two control networks operate are described. The algorithm for sending data to slave devices and receiving data from slave devices is described. The similarities and differences between these two networks are described. In the research part of this work, methods suitable for studying the time parameters of EtherCAT and PROFINET networks, depending on the network topologies and the number of network devices are developed. Using the developed methods, the influence of the number of slave devices in the network and the network topology on the network speed is investigated. Using MATLAB and Beckhoff TwinCAT 3 software and developed test methods, the speed and delay times of the EtherCAT real-time communication network are investigated. Recommendations are being developed to streamline the industrial Ethernet communications network.
Dissertation Institution Kauno technologijos universitetas.
Type Master thesis
Language Lithuanian
Publication date 2021