Peter Schneider

Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Bavaria, Germany

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Publications (65)2.21 Total impact

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    ABSTRACT: We propose an innovative thermal modeling approach that takes into account different “levels-of-knowledge” as they become available during the design phases of microelectronic systems. There are many tools available for thermal simulations which are well-suited for high-precision modeling. However, their applicability severely diminishes if CAD models are not available or modeling time is limited. Especially for electro-thermal co-design, where several spins between modeling and simulation are required, modeling time quickly becomes prohibitively large. By a combination of different techniques our solution offers fast and intuitive modeling, continuous addition of detail, very short simulation times, and open interfaces. In this paper we present our thermal modeling approach based on constructive solid geometry (CSG). We discuss advantages and limits of this solution and demonstrate its performance on an example of industrially-relevant complexity.
    Thermal Investigations of ICs and Systems (THERMINIC), 2013 19th International Workshop on; 01/2013
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    ABSTRACT: Kurzfassung Im vorliegenden Beitrag wird der Einsatz modellbasierter Entwurfstechniken für die Entwicklung von Echtzeit-Applikationen diskutiert. Im Fokus der Betrachtungen liegt ein verallgemeinerter Ansatz zur Überführung von Modellen aus Matlab/Simulink auf unterschiedliche Mikrocontrollerarchitekturen. In diesem Zusammenhang wird ein am IIS/EAS entwickelter Embedded Target sowie dessen auf Mikro-controllerapplikationen zugeschnittenes Simulink-Blockset vorgestellt. Anhand von Beispielapplikationen für 8-bit-Mikrocontroller werden Vor-und Nachteile des modellbasierten Ansatzes sowie der konkreten Umsetzung diskutiert.
    Dresdner Arbeitstagung Schaltungs- und Systementwurf – DASS 2011, Dresden; 05/2011
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    ABSTRACT: Functional Digital Mock-up (FDMU) stellt eine Erweiterung des in der Industrie etablierten Konzeptes des Digital Mock-up (DMU) dar. Das Prinzip ist eine Kombination aus traditionellem DMU und Verhaltenssimulation. Innerhalb einer einheitlichen Plattform werden geometrische Eigenschaften und funktionale Aspekte gleichzeitig betrachtet. Das ermöglicht die geometrische Analyse/Kontrolle eines mechatronischen Systems ebenso wie die Überprüfung der stati-schen und dynamischen Funktionalität. Diese Verkopplung stellt einen wichtigen Schritt in Richtung des ganzheitlichen Entwurfs von mechatronischen Systemen dar. Eine sehr interessante Eigenschaft von FDMU ist die mögliche Interaktion zwischen Visualisierung und numerischer Simulation in beiden Richtungen. Dadurch können nicht nur die Simulations-ergebnisse in einer 3D-Szene angezeigt werden, sondern der Nutzer kann eine aktuell laufende Simulation von Visuali-sierungstool aus aktiv beeinflussen. Die Kommunikation zwischen der Visualisierung und den verschiedenen beteiligten Simulationswerkzeugen erfolgt über einen Master-Simulator.
    Fachtagung Mechatronik 2011, Dresden; 04/2011
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    ABSTRACT: Functional Digital Mock-up (FDMU) and Func-tional Mock-up Interface (FMI) are two keywords arising in the last years in simulation technology. In this paper, we would like to show that both principles, aiming at a comprehensive investigation of heteroge-neous systems, e.g. from mechatronics, are not neces-sarily competing with each other but may be com-bined to benefit from the ideas behind. The approaches are based on different ideas and cover dif-ferent aspects of the interaction of modern simulation tools. For that reason different constraints have to be considered, which do not make things easier. Both principles have advantages and disadvantages. How-ever, by combining both ways, a powerful framework for handling a broad variety of simulation tasks can be formed. In the paper, a possible approach for inte-grating both technologies will be shown.
    8th International Modelica Conference – Modelica’2011, Dresden, Germany; 03/2011
  • Andreas Köhler, Sven Reitz, Peter Schneider
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    ABSTRACT: We present a model order reduction algorithm for linear time-invariant descriptor systems of arbitrary derivative order that incorporates sensitivity analysis for network parameters in respect to design parameters. It is based on implicit moment matching via rational Krylov subspace methods with adaptive choice of expansion points and number of moments based on an error indicator. Additionally, we demonstrate how parametric reduced order models can be obtained at nearly no extra costs, such that parameter studies are extremely accelerated. The finite element model of a yaw rate sensor MEMS device has been chosen as a numerical example, but our method is also applicable to systems arising in modeling and simulation of electromagnetics, electrical circuits, machine tools, heat conduction and other phenomena. KeywordsSensitivity analysis–MEMS design–Adaptive model order reduction–Multi-point–Multimoment–Rational Krylov moment matching
    Analog Integrated Circuits and Signal Processing 01/2011; 71(1):49-58. · 0.55 Impact Factor
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    ABSTRACT: Co-Simulation is a general approach to simulate coupled technical systems. In a master-slave concept the slaves simulate sub-problems whereas the master is responsible for both coordinating the overall simu-lation as well as transferring data. To unify the inter-face between master and slave the FMI for Co-Simulation was developed. Using FMI a master was implemented with simple and advanced algorithms which can be applied depending on the properties of the involved slave simulators. The master was tested amongst others by coupling with SimulationX.
    01/2011;
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    ABSTRACT: Dieses Manuskript umfasst ausgewählte Aspekte der Integration von Finite-Elemente-Modellen, die das linear-elastische Verhalten von Körpern beschreiben, in die bereits vorhandene Mehrkörperbibliothek von SimulationX. Hierbei spielen verschiedene Gesichtspunkte, wie die oftmals notwendige Modellordnungsreduktion, die geeignete Berechnung der Konnektorvariablen und die Berücksichtigung nichtlinearer Terme, die das dynamische Verhalten des Körpers bei großen Bewegungen beschreiben, ebenso eine Rolle wie spezielle Herausforderungen bei der Anpassung der mechanischen Modelle an die Mehrkörperbibliothek von SimulationX.
    13. ITI-Symposium, Dresden; 11/2010
  • Olaf Enge-Rosenblatt, Peter Schneider
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    ABSTRACT: Für heutige technische Systeme ist die turnusmäßige Wartung innerhalb festgesetzter Zeitintervalle in vielen Fällen nicht mehr adäquat. Hier stellt die kontinuierliche Zustandsüberwachung mittels so genannter Condition-Monitoring-Systeme (CMS) einen Ausweg dar. Dadurch können Alterungs- und Verschleißerscheinungen überwacht und - bei Kenntnis der physikalischen Zusammenhänge - durch die Anwendung statistischer Methoden auch Schadensprognosen aufgestellt werden. Der Entwurf solcher CMS ist eine äußerst komplexe und zudem applikationsspezifische Herausforderung. Das betrifft sowohl die Auswahl der Messgrößen als auch die Wahl der verschiedenen Schritte der Signalverarbeitung und der Klassifikationsalgorithmen. Mit einer speziell am Institut entwickelten Entwicklungsumgebung ist es möglich, für beliebige Sensorsignale mit verschiedenen Arten der Signalverarbeitung und Merkmalsextraktion zu experimentieren und deren Eignung für die Ermittlung der gewünschten Aussage zu bewerten. Dazu wurde eine Vielzahl von mathematischen Algorithmen innerhalb einer zugeschnittenen Nutzeroberfläche bereitgestellt und mit einer geeigneten Datenhaltung kombiniert. Das ermöglicht die bequeme Realisierung nahezu beliebiger Signalverarbeitungssequenzen, die sich baumförmig auffächern können (Experimentcharakter). Leistungsfähige Klassifikationsalgorithmen stehen dann für die Verknüpfung der extrahierten Einzelmerkmale zu einer Aussage bzgl. des aktuellen Zustands und zur Prognose von Veränderungen im System zur Verfügung. Routinen zur automatisierten Codegenerierung ermöglichen die schnelle Übertragung der Algorithmen auf eine Zielhardware. Der modulare Aufbau der Entwicklungsumgebung eröffnet ein breites Spektrum von Anwendungen. Dieses reicht von der Überwachung von einzelnen Komponenten, z.B. Pumpen oder Elektromotoren, bis hin zu komplexen Anlagen, z.B. Rohrleitungssysteme, Brücken, Windkraftanlagen. In einem aktuellen Forschungsprojekt werden für hydraulische Axialkolbenpumpen, ausgehend von realen und modellgestützt gewonnenen Schwingungsdaten am Pumpengehäuse, Algorithmen zur Zustandsüberwachung und Schadensprognose entwickelt.
    10th Leibnitz Conference on Advanced Science – Sensorsysteme 2010, Lichtenwalde/Chemnitz; 10/2010
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    ABSTRACT: Frequently, systems showing time-continuous as well as time-discrete behavior arise in multi-physics problems. Simulators supporting the dynamic simulation of hybrid systems often can deal with simple model variations only. A fundamental change of the model structure such as adding or removing differential or algebraic equations (structural variability) is not possible with most simulators. Unlike presently available Modelica simulators, Mosilab can be used to describe systems with inherent dynamics of the model structure, i.e. systems whose mathematical structure can change during simulation. Within Mosilab, the modeling language Mosila is used which is essentially Modelica with an extension based on statecharts for the mapping of state dependent changes of the model structure. Several numerical solvers can be used for simulation. Because events changing the state of the system may appear, the solvers have to fulfil certain requirements such as calculating consistent initial conditions after entering a new state of the chart. Recently, this calculation has been improved for the IDA solver which will be shown for a simple example. A further example with structural variability and its solution by Mosilab is presented.
    Multiphysics Simulation – Advanced Methods for Industrial Engineering, 1st International Conference, Bonn, Germany; 06/2010
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    ABSTRACT: Digital Mock-up (DMU) is a widely introduced technology for investigating geometrical and mechanical properties of mechanical systems. A substantial extension of DMU is presented in this paper: the so-called Functional Digital Mock-up (FDMU) approach. This approach is a combination of traditional DMU and behavioural simulation. It realizes an integration of geometrical properties and functional aspects. Hence, this approach leads to a considerably more insight into properties of multiphysical systems containing mechanical subsystems, e.g. mechatronic systems. The key point of FDMU is the possible interaction between visualization and numerical simulation in both directions. This way, simulation results are shown in a 3D scene as well as the user is able to intervene into an active simulation run. Communication between visualization and simulation is carried out by a Master Simulator. This Master Simulator is also capable to govern the communication between different simulation tools if needed. Hence, more than one simulation tool can be incorporated in order to solve a simulation issue. A prototypic FDMU framework is available up to now. The paper introduces the components of this framework and illustrates the approach via an application example.
    Multiphysics Simulation – Advanced Methods for Industrial Engineering, 1st International Conference, Bonn, Germany; 06/2010
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    ABSTRACT: In industrial product development, adaptive mechatronic systems play a rapidly increasing role. Historically, mechatronic systems are characterized by a coupling of the physical domains software engineering, mechanical engineering, and electronic engineering. But nowadays, also hydraulic, pneumatic and thermal subsystems have to be taken into account. Such heterogeneous systems provide a large variety of interactions between their subsystems. Hence, a holistic approach to modelling and simulation would be desirable when dealing with development of such systems. In the case of existence of adaptive components, the challenge becomes much more complex. Now, one has not only to deal with different physical domains but also with variable model structures. Figure 1 shows an example of a window regulator (left) and a driving motor (right) belonging to it. Because of environmental influences, functional restrictions or disorders may occur. Hence, it is worth to consider an adaptive system to increase robustness of functionality (adaptive controller, additional drive, heating system etc.). This may illustrate that a holistic approach is essential for design of adaptive mechatronic systems.
    ECCM Conference, Paris; 05/2010
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    ABSTRACT: Functional Digital Mock-Up (FDMU) is a combination of traditional DMU with behavioral simulation in mechatronics. To enable this combination, two main tasks have to be solved: Established simulation approaches of the areas of mechanics, electronics, and software simulation must interact with each other. This implies to solve the task of simulator coupling. Furthermore, the simulation results must be visualized using the geometric models of DMU. In the paper, development and properties of a prototypic FDMU framework is presented. The components of the FDMU framework are introduced and the approach is illustrated with an application example.
    ASIM-Treffen STS/GMMS, Ulm, Germany; 03/2010
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    ABSTRACT: Due to high integration density the influence of manufacturing technologies on the system behavior has to be considered very early in the design process of 3D systems. Therefore, information from different physical domains, design rules, and guidelines have to be provided to designers. The variety of structures and physical effects requires efficient modeling approaches and simulation algorithms. In the following a modular approach which covers detailed analysis with PDE solvers and more abstract behavioral modeling is described.
    Fraunhofer EAS. 01/2010;
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    ABSTRACT: This paper deals with the concept of how to integrate results of multi physics investigation of 3D stacks into modern comprehensive 3D data structures. Beside a description of modern 3D data structures and methods for floorplanning and Place&Route, approaches for multi physics modeling are introduced. The extension of the layout optimization process by multi physics modeling is investigated. Finally, we conclude with a summary of the future needs for an improved interoperability.
    IEEE International Conference on 3D System Integration, 3DIC 2010, Munich, Germany, 16-18 November 2010; 01/2010
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    ABSTRACT: Wireless sensor networks (WSN) get increasing importance in different application areas. In building automation, applications on WSN are expected to utilize a large number of nodes in a heterogeneous environment. They are too complex to be developed in the traditional way of prototyping and debugging. In fact, new techniques are needed to support the design of WSN applications efficiently. Simulation is one important method to decrease design time and to increase design quality. This is crucial for applications in building automation because very high reliability and robustness are required. In this paper major challenges of simulating wireless sensor network applications are discussed. Using a WSN simulation framework, functional simulation and the evaluation of robustness of WSN applications in building automation environments are demonstrated.
    Proceedings of 15th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2010, September 13-16, 2010, Bilbao, Spain; 01/2010
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    ABSTRACT: Systems for measurement of relative displacements or rotations in a single dimension by means of Hall sensors are state of the art. Fraunhofer HallinOne® Technology delivers 3D Hall sensors which can measure the complete spatial magnetic field vector as well as its change in all spatial directions at once. This allows in principle the design of position sensor systems which can detect all six degrees of freedom (positions and angles) of any device with a single magnet and a single magnetic field sensor. Unfortunately, complexity of the design increases significantly with the number of DOF in question. In this paper, after giving an overview on Fraunhofer IIS' HallinOne® technology, we present a software environment for the design of 3D magnetic position sensor systems, which supports the design process from feasibility studies unto preliminary testing of virtual prototypes. An application in the automotive domain is shown as an example.
    Fraunhofer EAS. 01/2010;
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    ABSTRACT: There is an increasing demand for simulation strategies for electro-thermal analysis of electronic systems. In this study cases are investigated, where self induced thermal dynamics influence the electrical behavior of the device. A method for generation of thermal models is proposed, which requires coarse information on layout while allowing evaluation electro-thermal interactions tentatively. Here, the chip is divided into a number of columns, in which the lateral gradient of the temperature is considered to be negligible. A simple RC-network is used to model the thermal behavior of each layer in the column, which yields a 3D-connected RC-network as a thermal model for the entire chip. This model is generated automatically. The thermal pins of the devices are mapped to the pins of the thermal model, thereby placing the devices roughly on the coarse layout. Now electro-thermal interaction can be investigated using standard simulation tools for electrical network analysis following the first aforementioned strategy.
    Fraunhofer EAS. 01/2010;
  • P. Schneider, S. Reitz, G. Elst, A. Wilde
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    ABSTRACT: In the design process of micro systems their heterogeneity is one major issue. This heterogeneity is caused by a close coupling of different physical effects as well as a strong influence of manufacturing technologies and operation conditions on the system behavior. System level simulation of micro systems features outstanding potentials for a comprehensive design support covering the whole range from specification phase to implementation. The basic prerequisite to take advantage of these potentials is the availability of models for all important components. However, currently there is a lack of methodological approaches for the systematic formulation of behavioural models. Therefore, a methodological modeling approach is proposed which aims at a systematic formulation of behavioural models for multi physics systems. It covers analysis and partitioning of the micro system, the description of physical effects, the mapping to a unified mathematical representation by equations, as well as approaches for model abstraction. The successful application of this modeling methodology will be described using some examples from industrial design tasks.
    Fraunhofer EAS. 01/2010;
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    ABSTRACT: A 3D integrated silicon stack consisting of two MEMS devices and two IC devices is presented. The MEMS devices are a pressure sensor and a bulk acoustic resonator (BAR). The stack was constructed for a tire pressure monitoring system (TPMS) which was one out of three demonstrators for an EU funded project called e-CUBES. Thermal simulations were performed to check the level of thermo-mechanical stresses induced on the pressure sensor membrane during extreme environmental conditions. Additional simulations were made to calculate the exact temperature on the BAR device during operation as this was important for the operational frequency. This paper presents and discusses the technology choices made for the stacking of the pressure sensor and the BAR. Results are given from simulations, initial short-loop experiments and for the final stacking. KeywordsMEMS-3D integration-wafer level packaging-design-wafer bonding-gold stud bump bonding-TSV-simulation
    12/2009: pages 191-203;
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    ABSTRACT: Der Überwachung von Maschinen und Anlagen mit Hilfe von Verhaltensanalyse- und Fehlerprädiktionssystemen kommt heutzutage eine immer größere Bedeutung zu. In diesem Beitrag wird eine Methode vorgestellt, die eine Online-Überwachung von Maschinen und Anlagen mittels eines Condition-Monitoring-Systems (CMS) auf µ-Controller-Basis gestattet. Die Methode stützt sich auf eine breite Palette von Signalverarbeitungsalgorithmen zur Merkmalsextraktion und auf neuronale klassifikationswerkzeuge.
    9. Chemnitzer Fachtagung Mikrosystemtechnik – Mikromechanik & Mikroelektronik, Chemnitz; 11/2009

Publication Stats

145 Citations
2.21 Total Impact Points

Institutions

  • 1995–2011
    • Fraunhofer Institute for Integrated Circuits IIS
      • Fraunhofer-Institute for Integrated Circuits - Design Automation Division EAS IIS
      Erlangen, Bavaria, Germany