Methods for Reliable Simulation-Based PLC Code Verification

Carlsson, Henrik; Svensson, Bo; Danielsson, Fredrik; Lennartson, Bengt

doi:10.1109/tii.2011.2182653

Cited by 56 publications

(29 citation statements)

References 28 publications

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“…Then, for a controlled process modeled as: (1) where k is the sample order, is the dynamic matrix, is the input matrix, is the output matrix, x(k) is the system state at sample k, y(k) is the controlled output, and u(k) is control input. Two sets of samples or windows are defined: the prediction and the control horizons with N p and N c samples ahead, respectively.…”

Section: Model Predictive Controlmentioning

confidence: 99%

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Affordable Control Platform with MPC Application

Sousa¹,

Leite²,

Scola³

2018

STUD INFORM CONTROL

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This paper presents a control platform developed to interface with various hardware, allowing the design and rapid implementation even of advanced controllers, both on academic and industrial systems. The code of the controllers is written in the open-source Python language, facilitating the translation of code usually written in commercial software. The proposed platform can use from Arduinos to Programmable Logic Computers (PLCs). Beyond the research and tests on industrial facilities, the simplicity of the proposed platform allows its use also for educational and training purposes. Therefore, the proposed platform can help students focus on system analysis and control theory instead of hardware interfacing issues, while using low cost hardware. Developed in a client-server scheme, the platform can run in affordable computers while taking advantage of high-level mathematical and graphical tools available in Python language, allowing rapid implementation of advanced controllers. The use of this platform is illustrated with an implementation of a model predictive control (MPC) of a level control in a laboratory-scale process. A PLC is used to take the level measures, to dispatch control signals, and also for interlocking secure tasks. The controller runs on a Raspberry Pi computer that communicates with the PLC through an ethernet link.

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Section: Model Predictive Controlmentioning

confidence: 99%

“…The academic and industrial effort to bring simple solutions for advanced control test is not new as it can be seen in [1,2]. In this direction, the Python language was created to be a system language, meaning it would coordinate complex tasks that would be carried out by the system in a simple way.…”

Section: Introductionmentioning

confidence: 99%

Affordable Control Platform with MPC Application

Sousa¹,

Leite²,

Scola³

2018

STUD INFORM CONTROL

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show abstract

“…Specifically, challenging issues are faced when dealing with the HIL communication interfaces that allows the software verification on the real controller. At the state of the art, available solutions are based on the standard OPC communication, which may lead to free-wheeling (defined as an asynchronous run of simulation and controller which results in time delay, jitter, race condition, and slow sampling [13]). The demand is then for the VP model to be directly connected into the same communication infrastructure of the real system.…”

Section: Literature Reviewmentioning

confidence: 99%

Hardware-in-the-Loop Mechatronic Virtual Prototyping of a high-speed capsule filling machine

Pellicciari

Vergnano

Berselli

2014

2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA)

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In the field of pharmaceutical processing, last generation automatic machines autonomously modify their behavior in order to achieve the best manufacturing quality and productivity despite ever changing process requirements. Mechatronics, as a synergistic integration of electro-mechanical equipment and software control logics, enables such adaptive self-optimizing behaviors. Unfortunately, due to the complex interactions between the different technologies, the final performance of these systems can be effectively validated and optimized only on a physical prototype, with limited possibilities to introduce possible design changes. Therefore, in order to enable validation/optimization of high performance machinery during engineering design stage, a mechatronic Virtual Prototyping (VP) technology is strongly needed. Within this context, the present work discusses a mechatronic VP method based on a Hardware-in-the-Loop, hybrid-process simulation approach, where interactive real-time simulations can effectively assess the real final performance under changing process scenarios. In particular, a case study concerning a high-speed automatic machines for pharmaceutical capsules filling is thoroughly discussed.

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“…These preparations include that the user must acquire prior knowledge of the simulation software environment under discussion, the devices to be validated along with knowledge of their behaviour and kinematics must be known, and a server [4,7] to communicate between the control logic and these devices must be installed. Afterwards, the geometry used to represent these devices must be designed, assembled into smart-devices and then connected to the control logic to validate the system behaviour and control software via an execution environment [8].…”

Section: Introductionmentioning

confidence: 99%

Validating a reconfigurable assembly system utilizing virtual commissioning

Vermaak

Niemann

2015

2015 Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech)

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South African manufacturing companies today need to be more sophisticated technologically to compete for global markets. The latest trend in automation and manufacturing emerges in the form of reconfigurable systems.The aim of this paper is to show the development of a reconfigurable assembly system and using virtual commissioning to plan, validate and optimize it. To achieve this "DELMIA"software was used to create a virtual simulation environment to verify an assembly cell from such a system as a case study.Simulations were conducted to verify software functions, device movements and operations, and the control software of the system. As a result, it was found that virtual commissioning is an excellent tool for predicting how the system will function, verifying system code early, and rectifying design flaws. This will enable manufacturing companies to be more competitive, ensure increased productivity, save time and ensure them an advantage over their competition.

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Methods for Reliable Simulation-Based PLC Code Verification

Cited by 56 publications

References 28 publications

Affordable Control Platform with MPC Application

Affordable Control Platform with MPC Application

Hardware-in-the-Loop Mechatronic Virtual Prototyping of a high-speed capsule filling machine

Validating a reconfigurable assembly system utilizing virtual commissioning

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