Safe controllers design for industrial automation systems

The design of safe industrial controllers is one of the most important domains related to Automation Systems research. To support it, synthesis and analysis techniques are available. Among the analysis techniques, two of the most important are Simulation and Formal Verification. In this paper these...

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Veröffentlicht in:Computers & industrial engineering 2011-05, Vol.60 (4), p.635-653
Hauptverfasser: Machado, José, Seabra, Eurico, Campos, José C., Soares, Filomena, Leão, Celina P.
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container_end_page 653
container_issue 4
container_start_page 635
container_title Computers & industrial engineering
container_volume 60
creator Machado, José
Seabra, Eurico
Campos, José C.
Soares, Filomena
Leão, Celina P.
description The design of safe industrial controllers is one of the most important domains related to Automation Systems research. To support it, synthesis and analysis techniques are available. Among the analysis techniques, two of the most important are Simulation and Formal Verification. In this paper these two techniques are used together in a complementary way. Understanding plant behaviour is essential for obtaining safe industrial systems controllers; hence, plant modelling is crucial to the success of these techniques. A two step approach is presented: first, the use of Simulation and, second, the use of Formal Verification of Industrial Systems Specifications. The specification and plant models used for each technique are described. Simulation and Formal Verification results are presented and discussed. The approach presented in the paper can be applied to real industrial systems, and obtain safe controllers for hybrid plants. The Modelica modelling language and Dymola simulation environment are used for Simulation purposes, and Timed Automata formalism and the UPPAAL real-time model-checker are used for Formal Verification purposes.
doi_str_mv 10.1016/j.cie.2010.12.020
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subjects Automation
Computer simulation
Controllers
Design engineering
Formal verification
Formalism
Industrial safety
Industrial systems behaviour modelling
Mathematical models
Modelling
Operations research
Real-time systems
Safe controllers
Simulation
Specifications
Studies
title Safe controllers design for industrial automation systems
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