Modeling and response time analysis of the Level 2 system for a continuous steel casting process |
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| Affiliation: | 1. Grenoble INP, Gipsa-Lab (UMR5216), F-38400 Saint Martin d׳Hères, France;2. Université de Lyon, INSA Lyon, Ampère (UMR5005), F-69621 Villeurbanne, France;1. Universidade Federal de Santa Catarina, Departamento de Automação e Sistemas, 88040-900 Florianópolis, SC, Brazil;2. Dpto. de Informática, Universidad de Almería - CIESOL, Campus de Excelencia Internacional Agroalimentario, ceiA3. Crta. Sacramento s/n, 04120 La Cañada, Spain;1. Department of Mechanical and Aerospace Engineering, West Virginia University, Morgantown, WV 26506, USA;2. Department of Aerospace Engineering Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USA;1. University of Bayreuth, Mathematical Institute, Germany;2. Ruhr-University Bochum, Institute of Automation and Computer Control, Germany |
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| Abstract: | When a process control system (PCS) is designed or improved, it is very desirable to check in advance whether it responds within time constraints because correcting a system after implementation requires time and effort. A PCS processes bursty messages from programmable logic controllers. The response time to each individual message is different from one another, so it must be evaluated. This paper presents a modeling method to set up an analytic model of a PCS for the response time analysis using Colored Generalized Stochastic Petri Net. The model is analyzed using transient queueing analysis and simulation. A test bed system is built that is identical to a part of a PCS in a continuous casting plant, and is used to measure response times. The approach is validated by showing that simulations using the analytic model match the measured values well. The approach is applied to the whole PCS in the same plant to estimate the response times, which are presented and discussed in the paper. |
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| Keywords: | Process control system Response time Modeling method Colored Generalized Stochastic Petri Net Bursty message |
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