Formal verification of PLC programs generated from signal interpreted Petri nets

Mertke, T.; Frey, Georg

doi:10.1109/icsmc.2001.972974

Cited by 36 publications

(21 citation statements)

References 3 publications

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“…An application of the approach to languages according to IEC 61131-3 standards was not investigated until now. Mertke and Frey (2001) proposed an approach on formal verification based on Petri nets by using the SPIN model checker. The scalability of the approach by means of industrial PLC programs was not investigated.…”

Section: State Of the Artmentioning

confidence: 99%

Evolution of software in automated production systems: Challenges and research directions

Vogel‐Heuser

Fay

Schaefer

et al. 2015

Journal of Systems and Software

253

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a b s t r a c tCoping with evolution in automated production systems implies a cross-disciplinary challenge along the system's life-cycle for variant-rich systems of high complexity. The authors from computer science and automation provide an interdisciplinary survey on challenges and state of the art in evolution of automated production systems. Selected challenges are illustrated on the case of a simple pick and place unit. In the first part of the paper, we discuss the development process of automated production systems as well as the different type of evolutions during the system's life-cycle on the case of a pick and place unit. In the second part, we survey the challenges associated with evolution in the different development phases and a couple of cross-cutting areas and review existing approaches addressing the challenges. We close with summarizing future research directions to address the challenges of evolution in automated production systems.

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Section: State Of the Artmentioning

confidence: 99%

Evolution of software in automated production systems: Challenges and research directions

Vogel‐Heuser

Fay

Schaefer

et al. 2015

Journal of Systems and Software

253

View full text Add to dashboard Cite

show abstract

“…Among them, the most significant are (Bornot, Huuck, & Lukoschus, 2000;Lampérière-Couffin et al, 1999;Mertke & Frey, 2001;Rossi, 2004).…”

Section: Formal Verificationmentioning

confidence: 97%

Safe controllers design for industrial automation systems

Machado

Seabra

Campos

et al. 2011

Computers & Industrial Engineering

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a b s t r a c tThe 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.

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“…A verification platform supporting model-checking to verify conformance of PLC programs taking account of the cyclic scanning mode is presented in [26]. A formal verification of PLC program correctness by means of Petri nets is presented in [27]. Further approaches to ensure behavioral correctness of logic controllers -i.e.…”

Section: Related Work On Functional Conformance Verificationmentioning

confidence: 99%

Interface Behavior Modeling for Automatic Verification of Industrial Automation Systems' Functional Conformance

Legat

Mund

Campetelli

et al. 2014

At - Automatisierungstechnik

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To facilitate engineering and evolution of automation systems, ensuring the correctness of the design models is an important topic. Industrial automation systems are composed of various heterogeneous elements designed by different disciplines such as mechanical, electrical/electronic and software engineering. In this contribution, an approach for modeling industrial automation systems is presented which is based on interface behavior modeling of design artifacts and which supports automatic verification of their functional conformance while considering information from various disciplines.

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Formal verification of PLC programs generated from signal interpreted Petri nets

Cited by 36 publications

References 3 publications

Evolution of software in automated production systems: Challenges and research directions

Evolution of software in automated production systems: Challenges and research directions

Safe controllers design for industrial automation systems

Interface Behavior Modeling for Automatic Verification of Industrial Automation Systems' Functional Conformance

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