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IEEE International Conference on Emerging Technologies and Factory Automation

作者： Somayeh Malakuti Jurgen Bock Michael Weser Pierre Venet Patrick Zimmermann Mathias Wiegand Julian Grothoff Constantin Wagner Andreas Bayha ABB Corporate Research Center Ladenburg Germany R&D Corporate Research KUKA Deutschland GmbH Augsburg Germany Digital Engineering Fraunhofer IGCV Augsburg Germany Advanced Product Engineering Festo AG & Co. KG Esslingen Germany Chair of Process Control Engineering RWTH Aachen University Aachen Germany Model-based Systems Engineering Fortiss GmbH Munich Germany

Skill-based engineering is gaining attention as a means to increase flexibility and changeability in engineering industrial automation systems. This paper proposes the Skill-based engineering Model (SEM), which formally describes the core entities that play a role in skill-based engineering. Accordingly, we propose a four dimensional classification scheme for skills, and assess the suitability of a property model and OWL ontologies to describe and match skills. For each case, we identify a list of challenges that must be addressed to make skill-based engineering a reality in industrial automation systems. We believe that this paper can guide researchers to study various open aspects of skill-based engineering to make it feasible in complex industrial automation systems.

关键词： Skill Property Ontology PPR model Taxonomy

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A novel tube-based output feedback MPC for constrained linear systems

A novel tube-based output feedback MPC for constrained linea...

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American control Conference

作者： Sankaranarayanan Subramanian Sergio Lucia Sebastian Engell Process Dynamics and Operations Group TU Dortmund Germany Otto-von-Guericke-University Magdeburg Laboratory for Systems Theory and Automatic Control Institute of Automation Engineering Germany

ISBN: (纸本)9781509045839

Model Predictive control (MPC) is an advanced strategy for the control of multi-variable and constrained dynamical systems. Tube-based MPC is a robust control technique that handles uncertainties present in the model. Since full state information is seldom available in practical systems, the estimation error must also be taken into account in addition to model uncertainties to achieve closed-loop stability and constraint satisfaction despite estimation and model errors. In this paper, we propose a novel strategy for the design of a tube-based output feedback MPC which is independent of the estimation method employed. We formulate a control policy by choosing a candidate estimate that is consistent with the reachable sets of the system under control. The proposed method can be combined with any estimation scheme as long as the assumed error bounds are satisfied. We show that the proposed method is recursively feasible, robustly exponentially stable, and performs better than other available strategies.

关键词： Maximum Allowable Concentration Linear system control strategy Output feedback constraint satisfaction problems model error control technology model uncertainty Statistical analysis

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OPC UA hardware offloading engine as dedicated peripheral IP core

OPC UA hardware offloading engine as dedicated peripheral IP...

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IEEE International Workshop on Factory Communication systems (WFCS)

作者： Chris Paul Iatrou Leon Urbas Technical University of Dresden Chair for Process Control Systems Engineering

OPCUA is a promising candidate for achieving a vertical semantic integration of field devices in the next generation of industrial automation topologies. Microprocessing platforms embedded in sensors and actor do however not provide the memory and computing resources required to integrate OPC UA communication stacks. To enable the usage of OPC UA on limited platforms, this article introduces a dedicated, highly scalable hardware server stack, synthesizable on 75.800 μm 2 using 28 nm CMOS technology as well as FPGAs, that can process OPC UA as a peripheral component.

关键词： Engines Hardware Memory management Servers Fabrics IP networks Protocols

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LQ control of Lotka-Volterra systems Based on their Locally Linearized Dynamics

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IFAC-PapersOnLine 2016年第10期49卷 241-245页

作者： Lipták, Görgy Magyar, Attila Hangos, Katalin M. University of Pannonia Faculty of Information Technology Department of Electrical Engineering and Information Systems H-8200 Egyetem street 10 Veszprém Hungary HAS Computers and Automation Research Institute Process Control Research Group H-1111 Kende street 13-17 Budapest Hungary

This work applies the LQ control framework to the class of quasi-polynomial and Lotka-Volterra systems through the linearized version of their nonlinear system model. The primary aim is to globally stabilize the original system with a suboptimal LQ state feedback by means of a well-known entropy-like Lyapunov function that is related to the diagonal stability of linear systems. This aim can only be reached in the case when the quasi-monomial composition matrix is invertible. In the rank-deficient case only the local stabilization of the system is possible with an LQ controller that is designed using the locally linearized model of the closed-loop system model. © 2016

关键词： System stability Biological systems Closed loop systems Linear matrix inequalities Linear systems Linearization Lyapunov functions Nonlinear systems State feedback Closed loop system modeling Composition matrixes Linearized dynamics Local stabilizations Lotka Volterra systems LQ control Lyapunov stability Nonlinear system modeling

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Co-simulation with OPC UA

Co-simulation with OPC UA

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Stephan Hensel Markus Graube Leon Urbas Till Heinzerling Mathias Oppelt Chair for Process Control Systems Engineering Technische Universität Dresden Germany Siemens AG

ISBN: (纸本)9781509028719

engineering projects are driven by cost and time constraints. Furthermore, the increasing complexity of these projects makes it necessary to expose specification, implementation and conceptual errors as early as possible. Therefore, a well-established method is to carry out simulation experiments. This paper presents a concept for coupling already existing (domain-specific) simulation models that allow the integration of individual models in a co-simulation environment. A complete system simulation can take place in this environment. Therefore, the contribution of OPC UA as a generic middleware technology - a candidate for Industrie 4.0 scenarios that is being intensively discussed - is analysed. Through a prototypical implementation based on open62541, we can show a proof of concept by coupling different simulations (SIMIT and FMI instances). It also shows that our concept can be easily extended regarding the integration of new simulators.

关键词： Servers Adaptation models Data models Couplings Standards Registers

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Architectures for integrating functional safety into modular process plants

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IFAC-PapersOnLine 2015年第21期48卷 1321-1326页

作者： Pfeffer, Annett Urbas, Leon Chair of Process Control Systems Engineering Technische Universität Dresden Germany

As an approach to cope with rising volatility of sales markets and increasingly shorter development cycles, process industries are expecting much from the concept of modularization. However, a topic that is still rarely focused in this context is safety. Therefore, this paper is focused on the expected challenges of engineering functional safety including the architectures of safety instrumented systems, and the requirements of modularization. Possible architectures are presented and discussed in relation to the requirements of functional safety in modular process plants. © 2015

关键词： Architecture

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Analysis of fuzzy cognitive maps from ambiguity and fuzziness perspective

Analysis of fuzzy cognitive maps from ambiguity and fuzzines...

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International Symposium on Computational Intelligence and Informatics

作者： M. Furkan Dodurka Engin Yesil Leon Urbas Getron Corporation New Jersey NJ USA Chair for Process Control Systems Engineering Technische Universität Dresden Germany

ISBN: (纸本)9781509039104

In this study, Fuzzy Cognitive Maps (FCMs), which are powerful tools for graphical representation of knowledge, are analyzed from an ambiguity and fuzziness perspective. In conventional FCMs the causal strengths are represented with singleton (crisp) fuzzy numbers, but recently, other researchers proposed different FCM structures where uniform (interval) or triangular fuzzy numbers are used in causal strength representation. Here, FCMs are analyzed by means of fuzziness and ambiguity measures that are proposed in literature to investigate the capability of models to represent uncertainties. In addition, two new measures, called the average ambiguity measure (AAM) and the average fuzziness measure (AFM), are proposed to indicate uncertainty representation of an FCM. A well-known FCM model of a public health system is used as a case study to show how the fuzzy weights determine the uncertainty representation of FCMs, and then the outcomes are discussed.

关键词： Uncertainty Measurement uncertainty Fuzzy cognitive maps Fuzzy sets Fuzzy systems Inference mechanisms

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Integrating industrial middleware in Linked Data collaboration networks

Integrating industrial middleware in Linked Data collaborati...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Markus Graube Leon Urbas Jan Hladik Chair for Process Control Systems Engineering Technische Universität Dresden Dresden Germany Faculty of Engineering Baden-WürttembergCooperative State University (DHBW) Stuttgart Germany

ISBN: (纸本)9781509013159

Within the Semantic Web field, Linked Data is an emerging technology offering advantages in terms of flexibility and openness also for industrial environments. It provides a powerful information model with simple extension mechanisms and a cross-domain character, which makes it possible to span flexible information spaces across enterprise boundaries. Thus, it is able to represent all facets of a digital plant, like devices and processes. Although developed with the focus on static data, it is also capable of handling dynamic data if the latter is adapted appropriately. This article describes these requirements and presents a concept for integrating process data into the Linked Data information space. A separation between a semantic description of the access to process data and the service providing exactly this information allows efficient and integration-ready access to data. The necessary vocabulary is described as well as the information model. A prototypical implementation of OPC UA integration into Linked Data is presented. The article further discusses the current status of the approach and provides future research challenges.

关键词： Resource description framework Semantics Data models Transient analysis Ontologies Aging

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Colored petri net based diagnosis of process systems 30

Colored petri net based diagnosis of process systems

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30th European Simulation and Modelling Conference, ESM 2016

作者： Pózna, Anna I. Gerzson, Miklós Leitold, Adrien Hangos, Katalin M. Department of Electrical Engineering and Information Systems Hungary Deparment of Mathematics University of Pannonia P.O.B. 158 VeszprémH-8201 Hungary Process Control Research Group Computer and Automation Research Institute P.O.B. 63 BudapestH-1518 Hungary

ISBN: (纸本)9789077381953

An improved diagnosis method of technological systems is proposed in this paper that is based on their qualitative colored Petri-net model (Leitold et al. 2014). The proposed diagnosis method can be used when more than one fault occur in the system and if the fault evolves during the operation of the system. In order to make the diagnosis of complex process systems computationally feasible, a structural decomposition method is introduced to reduce the size of their occurrence graphs and to make the diagnosis easier. The proposed methods are illustrated on examples.

关键词： Fault detection

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Propagation modelling based on airborne particle release data from nanostructured materials for exposure estimation and prediction

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Journal of Physics: Conference Series 2017年第1期838卷

作者： Daniel Göhler Ralf Gritzki Michael Stintz Markus Rösler Clemens Felsmann Research Group Mechanical Process Engineering Institute of Process Engineering and Environmental Technology Technische Universität Dresden D-01062 Dresden Germany Chair of Building Energy Systems and Heat Supply Institute of Power Engineering Technische Universität Dresden D-01062 Dresden Germany

The gap between release and exposure is limiting the current risk assessment of nanostructured materials. Both, release and exposure were connected to each other by transport and transformation processes and require therefore the description/specification of complex exposure scenarios. Within this study, propagation modelling based on experimentally determined airborne particle release data was used for exposure estimation and prediction in a defined model room. Therefore, 9 different exposure scenarios based on 3 release scenarios and 3 ventilation scenarios were analysed. Results for near field considerations have shown that the level of inhalation exposure is fundamentally defined by the present exposure scenario, that personal heat can cause particle availability in the breathing zone and that highest exposure levels arise immediate during material processing.

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