Model-Driven Development of Control Software for Distributed Automation: A Survey and an Approach

Yang, Chia-han; Vyatkin, Valeriy; Pang, Cheng

doi:10.1109/tsmcc.2013.2266914

Cited by 47 publications

(22 citation statements)

References 79 publications

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“…In addition, some researches and systematic reviews have been conducted regarding these topics [11][12][13][14][15][16][17][18][19]. Moreover, previous works have addressed software systems development and, in some cases, software automatic generation.…”

Section: Methodsmentioning

confidence: 99%

An analysis of tools for automatic software development and automatic code generation

Rosales-Morales

Alor-Hernández

García-Alcaráz

et al. 2015

Rev. Fac. Ing. Antioquia

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Section: Methodsmentioning

confidence: 99%

An analysis of tools for automatic software development and automatic code generation

Rosales-Morales

Alor-Hernández

García-Alcaráz

et al. 2015

Rev. Fac. Ing. Antioquia

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“…Some efforts in coupling controllers and simulation models have already been presented [2,9,21]. In order to use tools not designed for hard real-time operation in real-time co-simulations, Zehetner et al presented a co-simulation algorithm based on polynomial extrapolation to break closed loops between real-time and non-real-time facilities [22].…”

Section: Model-based Control Engineeringmentioning

confidence: 99%

Model-Based Virtual Components in Event-Based Controls: Linking the FMI and IEC 61499

et al. 2020

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Various development and validation methods for cyber-physical systems such as Controller-Hardware-in-the-Loop (C-HIL) testing strongly benefit from a seamless integration of (hardware) prototypes and simulation models. It has been often demonstrated that linking discrete event-based control systems and hybrid plant models can advance the quality of control implementations. Nevertheless, high manual coupling efforts and sometimes spurious simulation artifacts such as glitches and deviations are observed frequently. This work specifically addresses these two issues by presenting a generic, standard-based infrastructure referred to as virtual component, which enables the efficient coupling of simulation models and automation systems. A novel soft real-time coupling algorithm featuring event-accurate synchronization by extrapolating future model states is outlined. Based on considered standards for model exchange (FMI) and controls (IEC 61499), important properties such as real-time capabilities are derived and experimentally validated. Evaluation demonstrates that virtual components support engineers in efficiently creating C-HIL setups and that the novel algorithm can feature accurate synchronization when conventional approaches fail.

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“…Model-based software and systems engineering is intensively studied over the last decades, e.g., [49,52,5,46]. A SysML based modeling approach which focuses on analyzing effects of software changes on mechanical and electrical designs is presented in [21].…”

Section: Related Workmentioning

confidence: 99%

Delta modeling for variant-rich and evolving manufacturing systems

Kowal

Legat²,

Lorefice

et al. 2014

Proceedings of the 1st International Workshop on Modern Software Engineering Methods for Industrial Automation

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Manufacturing systems exist in many different variants and evolve over time in order to meet changing requirements or environment contexts. This leads to an increased design complexity as well as to increased maintenance effort. In order to appropriately handle this inherent complexity, we propose a multi-perspective modeling approach combining UML activity, component-based and state chart diagrams to separately represent different system aspects. We combine the multi-perspective modeling approach with delta modeling to capture the variability and evolution of these manufacturing systems. Delta modeling allows a flexible, yet concise and understandable representation of variability in a modular manner. We examine our approach by applying it to a manufacturing lab demonstrator system with automated code generation from models obtained by delta application.

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Model-Driven Development of Control Software for Distributed Automation: A Survey and an Approach

Cited by 47 publications

References 79 publications

An analysis of tools for automatic software development and automatic code generation

An analysis of tools for automatic software development and automatic code generation

Model-Based Virtual Components in Event-Based Controls: Linking the FMI and IEC 61499

Delta modeling for variant-rich and evolving manufacturing systems

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