A research roadmap for model-driven design of embedded systems for automation components

Strasser, Thomas; Rooker, Martijn; Hegny, Ingo; Wenger, Monika; Zoitl, Alois; Ferrarini, Luca; Dedè, Alessio; Colla, Marco

doi:10.1109/indin.2009.5195865

Cited by 19 publications

(11 citation statements)

References 2 publications

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“…Available transformation rules are utilized to generate the IEC 61499 implementation from the BM [15]. Within the resulting control application the PlantPort elements are transformed into specialized CFBs-Instrumentation & Control Points (I&C-points).…”

Section: Iec 61499 Plant Simulation Modelmentioning

confidence: 99%

IEC 61499 based simulation framework for model-driven production systems development

Hegny

Wenger

Zoitl

2010

2010 IEEE 15th Conference on Emerging Technologies &Amp; Factory Automation (ETFA 2010)

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In the design of plants and machines the complexity is permanently increasing. Model-driven design methodologies in the field of Industrial Automation and Control Systems, as proposed by the MEDEIA project, help to cope with current requirements like limited budget and reduced ramp-up time. Concurrent development in all involved domains is facilitated by the introduction of simulation in the development process. We propose the use of an IEC 61499 industrial automation runtime environment to simulate plants' behavior. The concept for the simulation framework is based on the coupling of the control application and the plant simulation application via Instrumentation and Control points. The introduction of physical links in the plant simulation application enhances the behavior model of the plants, thus increasing the quality of the obtained simulation results.

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Section: Iec 61499 Plant Simulation Modelmentioning

confidence: 99%

IEC 61499 based simulation framework for model-driven production systems development

Hegny

Wenger

Zoitl

2010

2010 IEEE 15th Conference on Emerging Technologies &Amp; Factory Automation (ETFA 2010)

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“…Another interesting MDA approach for industrial automation systems was developed in the MEDEIA project [14], [15]. The core MEDEIA elements are the usage of domain-specific models representing automation applications, the automation component model representing an automation-oriented PIM as well as rules for the automatic generation of IEC 61131-3 and IEC 61499 compliant platform specific code.…”

Section: B Model-driven Engineering Applied To Industrial Systemsmentioning

confidence: 99%

From textual programming to IEC 61499 artifacts: Towards a model-driven engineering approach for smart grid applications

Andrén

Strasser

Kästner

2015

2015 IEEE 13th International Conference on Industrial Informatics (INDIN)

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During the last years the increasing installation of distributed energy resources, electric vehicles bus also energy storage systems has lead to new challenges in terms of power system planning and operation. New intelligent approaches turning power distribution grids into Smart Grids are necessary. For their realization standardized automation, control and communication systems are essential. Moreover, an integrated engineering approach for the development of Smart Grid applications using these standards is equally required. Model-driven engineering methods well known from computer science together with implementation methods from automation domain have the potential to provide the basis for such a required integrated engineering concept. The main aim of this paper therefore is to facilitate the integration of legacy Smart Grid applications into a model-driven engineering approach. It introduces transformation rules for the conversion of applications implemented with textual programming languages into the IEC 61499 reference model. A brief overview of existing model-driven approaches applied in industrial environments is provided and their applicability for Smart Grid application development is discussed. The special requirements of the Smart Grid domain is taken into account by the proposed transformation approach and provided examples.

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“…Strasser et al 11 have presented a research roadmap for model-driven design of embedded systems in the domain of complex industrial automation and control systems. The simulation approach of the project is discussed in more detail by Hegny et al 12 Ferrarini and Dede 31 have presented an approach to mix real control hardware and software with simulated ones while simulating the plant in SIMBA 3D simulation environment.…”

Section: Simulations Within Mddmentioning

confidence: 99%

Integrating model-in-the-loop simulations to model-driven development in industrial control

Vepsäläinen

Kuikka

2014

SIMULATION

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Software applications are becoming increasingly important in automation and control systems. This has forced control system vendors and integrators to pursue new, more effective software development practices. One of the promising research paths has been the utilization of Unified Modeling Language and model-driven development. However, integration of simulations to the existing model-driven development approaches still has not been sufficiently described in the literature. This is surprising as advanced mathematical simulation tools are already in use in the domain to facilitate control algorithm development. In this paper, this issue is addressed by extending a tool-supported model-driven development process with object-oriented, component-based simulation capabilities. To demonstrate the proposed technique, a control system model for a crane system is developed and the technique then used to create a Modelica simulation of the controlled crane.

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A research roadmap for model-driven design of embedded systems for automation components

Cited by 19 publications

References 2 publications

IEC 61499 based simulation framework for model-driven production systems development

IEC 61499 based simulation framework for model-driven production systems development

From textual programming to IEC 61499 artifacts: Towards a model-driven engineering approach for smart grid applications

Integrating model-in-the-loop simulations to model-driven development in industrial control

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