Collaborative Modelling and Co-simulation with DESTECS: A Pilot Study

Pierce, Ken; Gamble, Carl; Ni, Yunyun; Broenink, Johannes F.

doi:10.1109/wetice.2012.69

Cited by 13 publications

(7 citation statements)

References 8 publications

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“…A heterogeneous simulator, the Ptolemy framework, was proposed in [6]. The DESTECS project [16] deals with comodelling, co-simulation and co-designing supervisory control models [4]. The TERRA tooling [12], provides for cosimulating real-time control models using FMI and CPS [5].…”

Section: Related Workmentioning

confidence: 99%

Early Analysis of Cyber-Physical Systems using Co-simulation and Multi-level Modelling

Nagele

Broenink

Hooman

et al. 2019

2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS)

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The multidisciplinary nature of the design of cyberphysical systems makes it hard to gain insight in the system behaviour early in the design process. Our aim is to allow the designers to analyse the integration of system components as well as the behaviour of the complete system in an early stage. This is achieved by creating abstract component models and refining them throughout the design process. After every refinement cycle, the models can be co-simulated to analyse the behaviour of the system, supporting design decisions. The cosimulation is created based on existing standards such as HLA and FMI and uses a domain-specific language to construct a co-simulation automatically. This approach is illustrated using a case study which resembles a confidential industrial case.

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Section: Related Workmentioning

confidence: 99%

Early Analysis of Cyber-Physical Systems using Co-simulation and Multi-level Modelling

Nagele

Broenink

Hooman

et al. 2019

2019 IEEE International Conference on Industrial Cyber Physical Systems (ICPS)

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“…Besides, this approach allows testing different scenarios and control algorithms very quickly and benefit from its flexibility. In [25], authors realized a SIL environment for the development of control strategies for hybrid vehicles. This environment allows the evaluation of different vehicle dynamic behavior for each additional masses and each position of gravity center of the vehicle.…”

Section: Related Workmentioning

confidence: 99%

Software In the Loop Simulation for Robot Manipulators

Ayed¹,

Zouari²,

Abid³

2017

Eng. Technol. Appl. Sci. Res.

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In the last decades, the classical verification of robotic software component is postponed until the code is developed enough to function in real hardware. For this reason, the verification of code at early stages is essential to reduce development costs and necessary time for embedded systems such as robot manipulator. Therefore, Software In the Loop (SIL) simulation may be realized in the early stages of software development. It offers the possibility to execute tests before the hardware is available and thus detect errors. In this paper, we propose a Software In the Loop (SIL) test for robot manipulator driven by a Brushless DC Motor without a target system hardware. Simulation results prove the rapidity and the good performance of the developed code for the controller’s part by the validation of the behavior of robot manipulator software.

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“…In the BRICS project, the BRICS component model [7] was defined and mapped onto the four layers of model abstractions (meta-models) as defined by the OMG. In the DESTECS project, co-modelling and cosimulation has been prototyped [8], and that work continued in the intoCPS project [9]. With Modelica [10], embedded systems can be described and simulated.…”

Section: Introductionmentioning

confidence: 99%

A co-design approach for embedded control software of cyber-physical systems

Broenink

Vos

Lü

et al. 2016

2016 11th System of Systems Engineering Conference (SoSE)

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This work is about an approach for designing control software for mechatronic and robotic machines. As all system parts (control algorithms, software infrastructure, I/O, and machine) influence each other, its total behaviour needs to be taken into account. Therefore, we use appropriate modelling formalisms, namely discrete event / discrete time for the control software and algorithm part, and differential equations for the machine / robotics part. We combine these two types of models in a co-modelling approach, supporting co-operative design of such cyber-physical systems.In this paper, the co-modelling and co-design approach is elaborated. It consists of four major steps, whereby the models in each are verified via simulation or co-simulation. It is a pure model-driven design approach, implying that all final code is generated from these verified models. This allows for better quality of the resulting embedded software.The method is illustrated using a case study. Structuring models and verification by simulation, whereby relevant simulations are set up such that they can be repeated as real experiments, is beneficial for the design work itself, i.e. making it far more effective and less error-prone.

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Collaborative Modelling and Co-simulation with DESTECS: A Pilot Study

Cited by 13 publications

References 8 publications

Early Analysis of Cyber-Physical Systems using Co-simulation and Multi-level Modelling

Early Analysis of Cyber-Physical Systems using Co-simulation and Multi-level Modelling

Software In the Loop Simulation for Robot Manipulators

A co-design approach for embedded control software of cyber-physical systems

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