Comparison of a transformed Matlab/Simulink model into the programming language CFC on different IEC 61131-3 PLC environments

Bayrak, Gülden; Murr, Patrik J.; Ulewicz, Sebastian; Vogel‐Heuser, Birgit

doi:10.1109/etfa.2012.6489667

Cited by 8 publications

(4 citation statements)

References 6 publications

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“…Code generation from plcML to Siemens S7 10 platform has been introduced in Tikhonov et al (2014). For hybrid models combining closed loop control and interlocking, Bayrak et al (2012) and Schneider et al (2014) developed the model transformation from MATLAB/Simulink to CFC for different PLC programming environments.…”

Section: State Of the Artmentioning

confidence: 99%

Evolution of software in automated production systems: Challenges and research directions

Vogel‐Heuser

Fay

Schaefer

et al. 2015

Journal of Systems and Software

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243

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a b s t r a c tCoping with evolution in automated production systems implies a cross-disciplinary challenge along the system's life-cycle for variant-rich systems of high complexity. The authors from computer science and automation provide an interdisciplinary survey on challenges and state of the art in evolution of automated production systems. Selected challenges are illustrated on the case of a simple pick and place unit. In the first part of the paper, we discuss the development process of automated production systems as well as the different type of evolutions during the system's life-cycle on the case of a pick and place unit. In the second part, we survey the challenges associated with evolution in the different development phases and a couple of cross-cutting areas and review existing approaches addressing the challenges. We close with summarizing future research directions to address the challenges of evolution in automated production systems.

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Section: State Of the Artmentioning

confidence: 99%

Evolution of software in automated production systems: Challenges and research directions

Vogel‐Heuser

Fay

Schaefer

et al. 2015

Journal of Systems and Software

Self Cite

243

View full text Add to dashboard Cite

show abstract

“…Using a Simulink implementation for a chemical reactor and utilizing Stateflow simplifies the following: simulation-driven development of operating procedures, performance evaluation of larger and more complex systems, and safe failure management. These advantages enable rapid prototyping with MATLAB code generation into programming language for automation systems (PLC) [41] and could thus simplify real plant operation.…”

Section: Process Designmentioning

confidence: 99%

Numerical Simulation Approach for a Dynamically Operated Sorption-Enhanced Water-Gas Shift Reactor

et al. 2022

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A dynamically operated sorption-enhanced water–gas shift reactor is modelled to leverage its performance by means of model-based process design. This reactor shall provide CO2-free synthesis gas for e-fuel production from pure CO. The nonlinear model equations describing simultaneous adsorption and reaction are solved with three numerical approaches in MATLAB: a built-in solver for partial differential equations, a semi-discretization method in combination with an ordinary differential equation solver, and an advanced graphic implementation of the latter method in Simulink. The novel implementation in Simulink offers various advantages for dynamic simulations and is expanded to a process model with six reaction chambers. The continuous conditions in the reaction chambers and the discrete states of the valves, which enable switching between reactive adsorption and regeneration, lead to a hybrid system. Controlling the discrete states in a finite-state machine in Stateflow enables automated switching between reactive adsorption and regeneration depending on predefined conditions, such as a time span or a concentration threshold in the product gas. The established chemical reactor simulation approach features unique possibilities in terms of simulation-driven development of operating procedures for intensified reactor operation. In a base case simulation, the sorbent usage for serial operation with adjusted switching times is increased by almost 15%.

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“…For example, Bayrak et al [8] compare the outputs of a system model implemented in Matlab Simulink with the outputs of an industrial control system whose code was generated on the basis of a relevant model (as presented above) and whose implementation was carried out through different development environments into control systems of different manufacturers. The authors then investigated if the output data of the real system with the generated implementation corresponded to those of the model.…”

Section: Related Researchmentioning

confidence: 99%

Automatic generation of a PLC controller based on a control system-identified model

Sýkora

Hušák

Bastan

et al. 2021

Journal of Electrical Engineering

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This paper discusses the automatic generation of controller codes through a model created in the MATLAB environment the aim of the research is to simplify the implementation and tuning of the closedloop circuit in industrial systems in this context, the concepts and steps outlined herein could produce a more intuitive and powerful alternative to the pre-defined software components of control systems that enable closed-loop control. We propose a methodology for identifying the system through an industrial control setup, creating a control loop model, and generating a code implementable in the control setup. Importantly, we also present and compare the results obtained with various variants of the automatically generated control circuit containing a pre-defined controller of the industrial control system. The outcomes of the research allow us to conclude that the implementations generated by the model perform better that the option using a built-in controller.

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Comparison of a transformed Matlab/Simulink model into the programming language CFC on different IEC 61131-3 PLC environments

Cited by 8 publications

References 6 publications

Evolution of software in automated production systems: Challenges and research directions

Evolution of software in automated production systems: Challenges and research directions

Numerical Simulation Approach for a Dynamically Operated Sorption-Enhanced Water-Gas Shift Reactor

Automatic generation of a PLC controller based on a control system-identified model

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