Automated generation of simulation models for control code tests

Barth, Mike; Fay, Alexander

doi:10.1016/j.conengprac.2012.09.022

Cited by 77 publications

(21 citation statements)

References 13 publications

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“…This work further applied the IMC design paradigm to the development of IEC 61499 application. As a result, the generated IEC 61499 application can support closed-loop simulation, which partially aligns with the research directions of [23,24].…”

Section: Related Workmentioning

confidence: 95%

IEC 61499 based model-driven process control engineering

Pang

Vyatkin

Dai

2014

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)

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Section: Related Workmentioning

confidence: 95%

IEC 61499 based model-driven process control engineering

Pang

Vyatkin

Dai

2014

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)

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“…The term simulation is used when the behavior of a system that is controlled by an automation system is imitated. The automation system can be emulated in addition (Barth et al (2013)). Fig.…”

Section: Simulation Along the Engineering Life Cyclementioning

confidence: 99%

“…It investigates whether sufficient models can be automatically derived from plant engineering data and do not have to be built from scratch. The proposed mechanism is designed for minimal complexity and thus avoids the use of additional mapping tools (Barth (2011), Barth, et al (2013, Bergert et al (2010), Hoffmann et al (2010), Hoyer et al (2008). Only the programs that are already in use anyway, such as plant engineering and simulation tools are required.…”

Section: Introductionmentioning

confidence: 99%

Automatic Model Generation for Virtual Commissioning based on Plant Engineering Data

Oppelt

Wolf

Drumm

et al. 2014

IFAC Proceedings Volumes

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“…However, a language like Modelica only allows a one-way translation of CAD to Modelica models regarding geometrical and inertial parameters. Consequently, some researchers have tried to integrate this modeling technique with CAD software [5,11,[17][18][19]]. An alternative case of model-based modeling is Simscape [1], an integrated package within MATLAB's Simulink toolbox.…”

Section: Introductionmentioning

confidence: 99%

Dynamic simulation of the CAD model in SimMechanics with multiple uses

Zátopek¹,

Úředníček²,

Machado³

et al. 2018

Turk J Elec Eng & Comp Sci

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When designing a mechatronic system, several steps are taken into account. One of the main steps is the design of a CAD model representing the physical part of the system, and another major point is the development of the mathematical model necessary for the respective controller design. This paper combines both design steps and shows the advantages of using this approach. First, a CAD model is created considering the kinematic and dynamic behavior of the system as well as respective material properties. This CAD model is, in parallel, used for both purposes: as the main basis for developing a mathematical model that will be used for definition of control laws and appropriate system controllers, and also to generate a physical model as result of exporting to MATLAB/Simulink (Simscape/SimMechanics library) in order to simulate the system behavior. This translation does not consider only the standard CAD model export to the SimMechanics library when forces and torques between links are clearly defined, but also the correct way to add corresponding limiting forces/torques. When comparing the behavior of the physical model and the mathematical model, it is important to obtain similar results, especially when it is necessary to perform some simplifications of a mathematical model, as happens in the context of nonlinear systems control. All these issues are discussed in this paper and the obtained simulation results for both models are similar, which confirms the proposed approach.

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Automated generation of simulation models for control code tests

Cited by 77 publications

References 13 publications

IEC 61499 based model-driven process control engineering

IEC 61499 based model-driven process control engineering

Automatic Model Generation for Virtual Commissioning based on Plant Engineering Data

Dynamic simulation of the CAD model in SimMechanics with multiple uses

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