Dr. Sven Herold Profile

Dr. Sven Herold

Head of Dept at Fraunhofer-LBF

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Author

Publications (5)

Proceedings Article | 4 April 2012 Paper

Design and modeling of dielectric elastomer actuators

W. Kaal, S. Herold, T. Melz

Proceedings Volume 8340, 83402D (2012) https://doi.org/10.1117/12.915187

KEYWORDS: Actuators, Electrodes, Systems modeling, Capacitance, Electromechanical design, Dielectrics, Metals, Data modeling, Resistance, Dielectric elastomer actuators

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Proceedings Article | 29 March 2011 Paper

Dielectric elastomers for active vibration control applications

S. Herold, W. Kaal, T. Melz

Proceedings Volume 7976, 79761I (2011) https://doi.org/10.1117/12.880566

KEYWORDS: Actuators, Active vibration control, Control systems, Oscillators, Dielectrics, Data modeling, Amplifiers, Vibration control, Sensors, Computer simulations

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Proceedings Article | 9 April 2010 Paper

Modeling approaches for electroactive polymers

W. Kaal, S. Herold, T. Melz

Proceedings Volume 7642, 764211 (2010) https://doi.org/10.1117/12.848756

KEYWORDS: Electroactive polymers, Actuators, Electrodes, Systems modeling, Resistance, Capacitors, Finite element methods, Electroluminescence, Instrument modeling, Chemical elements

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Proceedings Article | 5 April 2006 Paper

Modeling approaches for active systems

Sven Herold, Heiko Atzrodt, Dirk Mayer, Martin Thomaier

Proceedings Volume 6173, 61730N (2006) https://doi.org/10.1117/12.658665

KEYWORDS: Systems modeling, Actuators, Device simulation, Modeling, Interfaces, Sensors, Control systems, Signal processing, Electroluminescence, Computer simulations

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To solve a wide range of vibration problems with the active structures technology, different simulation approaches for several models are needed. The selection of an appropriate modeling strategy is depending, amongst others, on the frequency range, the modal density and the control target. An active system consists of several components: the mechanical structure, at least one sensor and actuator, signal conditioning electronics and the controller. For each individual part of the active system the simulation approaches can be different. To integrate the several modeling approaches into an active system simulation and to ensure a highly efficient and accurate calculation, all sub models must harmonize. For this purpose, structural models considered in this article are modal state-space formulations for the lower frequency range and transfer function based models for the higher frequency range. The modal state-space formulations are derived from finite element models and/or experimental modal analyses. Consequently, the structure models which are based on transfer functions are directly derived from measurements. The transfer functions are identified with the Steiglitz-McBride iteration method. To convert them from the z-domain to the s-domain a least squares solution is implemented. An analytical approach is used to derive models of active interfaces. These models are transferred into impedance formulations. To couple mechanical and electrical sub-systems with the active materials, the concept of impedance modeling was successfully tested. The impedance models are enhanced by adapting them to adequate measurements. The controller design strongly depends on the frequency range and the number of modes to be controlled. To control systems with a small number of modes, techniques such as active damping or independent modal space control may be used, whereas in the case of systems with a large number of modes or with modes that are not well separated, other control concepts (e.g. adaptive controllers) are more convenient. If other elements (e.g. signal amplifiers or filters) in the signal paths have a significant influence on the transfer functions, they must be modeled as well by an adequate transfer function model. All the different models described above are implemented into one typical active system simulation. Afterwards, experiments will be performed to verify the simulations.

Proceedings Article | 7 June 2002 Paper

Damage detection and characterization in smart CFRP composites

Gerhard Mook, Juergen Pohl, Fritz Michel, Sven Herold

Proceedings Volume 4703, (2002) https://doi.org/10.1117/12.469615

KEYWORDS: Actuators, Nondestructive evaluation, Sensors, Ultrasonics, Manufacturing, Composites, Carbon, Ferroelectric materials, Visualization, X-rays

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