Closed-Loop Modeling in Future Automation System Engineering and Validation

Vyatkin, Valeriy; Hanisch, Hans-Michael; Pang, Cheng; Yang, Chia-han

doi:10.1109/tsmcc.2008.2005785

Cited by 100 publications

(44 citation statements)

References 23 publications

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“…Closed-loop MiL simulations are created with model transformations so that a genuine simulation language (Modelica) is used for simulating both plant and control application models. Other MDD approaches in the domain (in which simulations have been supported) have utilized IEC 61499 as a simulation (in addition to implementation) language [15,16,20] or relied on the use of cosimulation [14,19]. On the other hand, sequential control as a special aspect of control systems has been addressed only in [13] but not with respect to simulations.…”

Section: Discussionmentioning

confidence: 99%

“…Vyatkin et al [15] developed a model-integrated design framework for designing and validating industrial automation systems. It is based on the Intelligent Mechatronic Component (IMC) concept and the use of IEC 61499 architecture.…”

Section: Related Workmentioning

confidence: 99%

“…In a manner similar to [15,16] IEC 61499 is used for simulation purposes also in [20]. Model transformations are used for creating IEC 61499 plant models from MATLAB/Simulink plant models to obtain closed-loop behavior within a single (MiL) simulation environment.…”

Section: Related Workmentioning

confidence: 99%

“…On the other hand, the referred development approaches that support simulations rely either on cosimulation ( [14,19]) or use of IEC 61499 as a simulation language ( [15,16,20]). The use of IEC 61499 to simulations was not a viable alternative in this work to be presented because it is not used in the MDD process [2] that is extended with simulations.…”

Section: Related Workmentioning

confidence: 99%

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Model-Driven Development of Automation and Control Applications: Modeling and Simulation of Control Sequences

Vepsäläinen

Kuikka

2014

Advances in Software Engineering

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The scope and responsibilities of control applications are increasing due to, for example, the emergence of industrial internet. To meet the challenge, model-driven development techniques have been in active research in the application domain. Simulations that have been traditionally used in the domain, however, have not yet been sufficiently integrated to model-driven control application development. In this paper, a model-driven development process that includes support for design-time simulations is complemented with support for simulating sequential control functions. The approach is implemented with open source tools and demonstrated by creating and simulating a control system model in closed-loop with a large and complex model of a paper industry process.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Model-Driven Development of Automation and Control Applications: Modeling and Simulation of Control Sequences

Vepsäläinen

Kuikka

2014

Advances in Software Engineering

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“…The lighting simulation system developed in this work is designed following the component-based approach previously proposed in [22,23]. As illustrated in Fig.…”

Section: B Component-based Design and Virtual Metering Systemmentioning

confidence: 99%

Smart indoor lighting control: Power, illuminance, and colour quality

Baniya

Maksimainen

Sierla

et al. 2014

2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE)

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Abstract-This paper investigates the correlation between color quality and energy efficiency of indoor lighting control. The color quality, in terms of visual performance and comfort, is quantified using three measurements: illuminance, Color Rendering Index, and Correlated Color Temperature. Several experiments have been conducted to evaluate the potential energy savings of using different portions of light spectrum to obtain the optimal color quality. In particular, Light-Emitting Diodes are used as the lighting sources of the experimental luminaire. Moreover, the above quantification method and experimental results have been incorporated into a previously developed simulation framework for Building Automation and Control Systems, and smart lighting is used to adjust the tradeoff between comfort and energy consumption based on the presence of occupants. The results can be used to evaluate the viability of advanced lighting automation.

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