@phdthesis{Bangert2019,
  author    = {Bangert, Philip},
  title     = {Magnetic Attitude Control of Miniature Satellites and its Extension towards Orbit Control using an Electric Propulsion System},
  isbn      = {978-3-945459-28-7 (online)},
  issn      = {1868-7474},
  doi       = {10.25972/OPUS-17702},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-177020},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2019},
  abstract  = {The attitude and orbit control system of pico- and nano-satellites to date is one of the bottle necks for future scientific and commercial applications. A performance increase while keeping with the satellites' restrictions will enable new space missions especially for the smallest of the CubeSat classes. This work addresses methods to measure and improve the satellite's attitude pointing and orbit control performance based on advanced sensor data analysis and optimized on-board software concepts. These methods are applied to spaceborne satellites and future CubeSat missions to demonstrate their validity. An in-orbit calibration procedure for a typical CubeSat attitude sensor suite is developed and applied to the UWE-3 satellite in space. Subsequently, a method to estimate the attitude determination accuracy without the help of an external reference sensor is developed. Using this method, it is shown that the UWE-3 satellite achieves an in-orbit attitude determination accuracy of about 2°. An advanced data analysis of the attitude motion of a miniature satellite is used in order to estimate the main attitude disturbance torque in orbit. It is shown, that the magnetic disturbance is by far the most significant contribution for miniature satellites and a method to estimate the residual magnetic dipole moment of a satellite is developed. Its application to three CubeSats currently in orbit reveals that magnetic disturbances are a common issue for this class of satellites. The dipole moments measured are between 23.1mAm² and 137.2mAm². In order to autonomously estimate and counteract this disturbance in future missions an on-board magnetic dipole estimation algorithm is developed. The autonomous neutralization of such disturbance torques together with the simplification of attitude control for the satellite operator is the focus of a novel on-board attitude control software architecture. It incorporates disturbance torques acting on the satellite and automatically optimizes the control output. Its application is demonstrated in space on board of the UWE-3 satellite through various attitude control experiments of which the results are presented here. The integration of a miniaturized electric propulsion system will enable CubeSats to perform orbit control and, thus, open up new application scenarios. The in-orbit characterization, however, poses the problem of precisely measuring very low thrust levels in the order of µN. A method to measure this thrust based on the attitude dynamics of the satellite is developed and evaluated in simulation. It is shown, that the demonstrator mission UWE-4 will be able to measure these thrust levels with a high accuracy of 1\% for thrust levels higher than 1µN. The orbit control capabilities of UWE-4 using its electric propulsion system are evaluated and a hybrid attitude control system making use of the satellite's magnetorquers and the electric propulsion system is developed. It is based on the flexible attitude control architecture mentioned before and thrust vector pointing accuracies of better than 2° can be achieved. This results in a thrust delivery of more than 99\% of the desired acceleration in the target direction.},
  subject      = {Satellit},
  language  = {en}
}
@phdthesis{Kramer2021,
  author    = {Kramer, Alexander},
  title     = {Orbit control of a very small satellite using electric propulsion},
  isbn      = {978-3-945459-34-8 (online)},
  doi       = {10.25972/OPUS-24155},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-241552},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2021},
  abstract  = {Miniaturized satellites on a nanosatellite scale below 10kg of total mass contribute most to the number of launched satellites into Low Earth Orbit today. This results from the potential to design, integrate and launch these space missions within months at very low costs. In the past decade, the reliability in the fields of system design, communication, and attitude control have matured to allow for competitive applications in Earth observation, communication services, and science missions. The capability of orbit control is an important next step in this development, enabling operators to adjust orbits according to current mission needs and small satellite formation flight, which promotes new measurements in various fields of space science. Moreover, this ability makes missions with altitudes above the ISS comply with planned regulations regarding collision avoidance maneuvering. This dissertation presents the successful implementation of orbit control capabilities on the pico-satellite class for the first time. This pioneering achievement is demonstrated on the 1U CubeSat UWE-4. A focus is on the integration and operation of an electric propulsion system on miniaturized satellites. Besides limitations in size, mass, and power of a pico-satellite, the choice of a suitable electric propulsion system was driven by electromagnetic cleanliness and the use as a combined attitude and orbit control system. Moreover, the integration of the propulsion system leaves the valuable space at the outer faces of the CubeSat structure unoccupied for future use by payloads. The used NanoFEEP propulsion system consists of four thruster heads, two neutralizers and two Power Processing Units (PPUs). The thrusters can be used continuously for 50 minutes per orbit after the liquefaction of the propellant by dedicated heaters. The power consumption of a PPU with one activated thruster, its heater and a neutralizer at emitter current levels of 30-60μA or thrust levels of 2.6-5.5μN, respectively, is in the range of 430-1050mW. Two thruster heads were activated within the scope of in-orbit experiments. The thrust direction was determined using a novel algorithm within 15.7° and 13.2° of the mounting direction. Despite limited controllability of the remaining thrusters, thrust vector pointing was achieved using the magnetic actuators of the Attitude and Orbit Control System. In mid 2020, several orbit control maneuvers changed the altitude of UWE-4, a first for pico-satellites. During the orbit lowering scenario with a duration of ten days, a single thruster head was activated in 78 orbits for 5:40 minutes per orbit. This resulted in a reduction of the orbit altitude by about 98.3m and applied a Delta v of 5.4cm/s to UWE-4. The same thruster was activated in another experiment during 44 orbits within five days for an average duration of 7:00 minutes per orbit. The altitude of UWE-4 was increased by about 81.2m and a Delta v of 4.4cm/s was applied. Additionally, a collision avoidance maneuver was executed in July 2020, which increased the distance of closest approach to the object by more than 5000m.},
  subject      = {Kleinsatellit},
  language  = {en}
}
@phdthesis{Gageik2015,
  author    = {Gageik, Nils},
  title     = {Autonome Quadrokopter zur Innenraumerkundung : AQopterI8, Forschung und Entwicklung},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-130240},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2015},
  abstract  = {Diese Forschungsarbeit beschreibt alle Aspekte der Entwicklung eines neuartigen, autonomen Quadrokopters, genannt AQopterI8, zur Innenraumerkundung. Dank seiner einzigartigen modularen Komposition von Soft- und Hardware ist der AQopterI8 in der Lage auch unter widrigen Umweltbedingungen autonom zu agieren und unterschiedliche Anforderungen zu erf{\"u}llen. Die Arbeit behandelt sowohl theoretische Fragestellungen unter dem Schwerpunkt der einfachen Realisierbarkeit als auch Aspekte der praktischen Umsetzung, womit sie Themen aus den Gebieten Signalverarbeitung, Regelungstechnik, Elektrotechnik, Modellbau, Robotik und Informatik behandelt. Kernaspekt der Arbeit sind L{\"o}sungen zur Autonomie, Hinderniserkennung und Kollisionsvermeidung. Das System verwendet IMUs (Inertial Measurement Unit, inertiale Messeinheit) zur Orientierungsbestimmung und Lageregelung und kann unterschiedliche Sensormodelle automatisch detektieren. Ultraschall-, Infrarot- und Luftdrucksensoren in Kombination mit der IMU werden zur H{\"o}henbestimmung und H{\"o}henregelung eingesetzt. Dar{\"u}ber hinaus werden bildgebende Sensoren (Videokamera, PMD), ein Laser-Scanner sowie Ultraschall- und Infrarotsensoren zur Hindernis-erkennung und Kollisionsvermeidung (Abstandsregelung) verwendet. Mit Hilfe optischer Sensoren kann der Quadrokopter basierend auf Prinzipien der Bildverarbeitung Objekte erkennen sowie seine Position im Raum bestimmen. Die genannten Subsysteme im Zusammenspiel erlauben es dem AQopterI8 ein Objekt in einem unbekannten Raum autonom, d.h. v{\"o}llig ohne jedes externe Hilfsmittel, zu suchen und dessen Position auf einer Karte anzugeben. Das System kann Kollisionen mit W{\"a}nden vermeiden und Personen autonom ausweichen. Dabei verwendet der AQopterI8 Hardware, die deutlich g{\"u}nstiger und Dank der Redundanz gleichzeitig erheblich verl{\"a}sslicher ist als vergleichbare Mono-Sensor-Systeme (z.B. Kamera- oder Laser-Scanner-basierte Systeme). Neben dem Zweck als Forschungsarbeit (Dissertation) dient die vorliegende Arbeit auch als Dokumentation des Gesamtprojektes AQopterI8, dessen Ziel die Erforschung und Entwicklung neuartiger autonomer Quadrokopter zur Innenraumerkundung ist. Dar{\"u}ber hinaus wird das System zum Zweck der Lehre und Forschung an der Universit{\"a}t W{\"u}rzburg, der Fachhochschule Brandenburg sowie der Fachhochschule W{\"u}rzburg-Schweinfurt eingesetzt. Darunter fallen Labor{\"u}bungen und 31 vom Autor dieser Arbeit betreute studentische Bachelor- und Masterarbeiten. Das Projekt wurde ausgezeichnet vom Universit{\"a}tsbund und der IHK W{\"u}rzburg-Mainfranken mit dem Universit{\"a}tsf{\"o}rderpreis der Mainfr{\"a}nkischen Wirtschaft und wird gef{\"o}rdert unter den Bezeichnungen „Lebensretter mit Propellern" und „Rettungshelfer mit Propellern". Außerdem wurde die Arbeit f{\"u}r den Gips-Sch{\"u}le-Preis nominiert. Absicht dieser Projekte ist die Entwicklung einer Rettungsdrohne. In den Medien Zeitung, Fernsehen und Radio wurde {\"u}ber den AQopterI8 schon mehrfach berichtet. Die Evaluierung zeigt, dass das System in der Lage ist, voll autonom in Innenr{\"a}umen zu fliegen, Kollisionen mit Objekten zu vermeiden (Abstandsregelung), eine Suche durchzuf{\"u}hren, Objekte zu erkennen, zu lokalisieren und zu z{\"a}hlen. Da nur wenige Forschungsarbeiten diesen Grad an Autonomie erreichen, gleichzeitig aber keine Arbeit die gestellten Anforderungen vergleichbar erf{\"u}llt, erweitert die Arbeit den Stand der Forschung.},
  subject      = {Quadrokopter},
  language  = {de}
}
@phdthesis{Strohmeier2021,
  author    = {Strohmeier, Michael},
  title     = {FARN - A Novel UAV Flight Controller for Highly Accurate and Reliable Navigation},
  doi       = {10.25972/OPUS-22313},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-223136},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2021},
  abstract  = {This thesis describes the functional principle of FARN, a novel flight controller for Unmanned Aerial Vehicles (UAVs) designed for mission scenarios that require highly accurate and reliable navigation. The required precision is achieved by combining low-cost inertial sensors and Ultra-Wide Band (UWB) radio ranging with raw and carrier phase observations from the Global Navigation Satellite System (GNSS). The flight controller is developed within the scope of this work regarding the mission requirements of two research projects, and successfully applied under real conditions. FARN includes a GNSS compass that allows a precise heading estimation even in environments where the conventional heading estimation based on a magnetic compass is not reliable. The GNSS compass combines the raw observations of two GNSS receivers with FARN's real-time capable attitude determination. Thus, especially the deployment of UAVs in Arctic environments within the project for ROBEX is possible despite the weak horizontal component of the Earth's magnetic field. Additionally, FARN allows centimeter-accurate relative positioning of multiple UAVs in real-time. This enables precise flight maneuvers within a swarm, but also the execution of cooperative tasks in which several UAVs have a common goal or are physically coupled. A drone defense system based on two cooperative drones that act in a coordinated manner and carry a commonly suspended net to capture a potentially dangerous drone in mid-air was developed in conjunction with the project MIDRAS. Within this thesis, both theoretical and practical aspects are covered regarding UAV development with an emphasis on the fields of signal processing, guidance and control, electrical engineering, robotics, computer science, and programming of embedded systems. Furthermore, this work aims to provide a condensed reference for further research in the field of UAVs. The work describes and models the utilized UAV platform, the propulsion system, the electronic design, and the utilized sensors. After establishing mathematical conventions for attitude representation, the actual core of the flight controller, namely the embedded ego-motion estimation and the principle control architecture are outlined. Subsequently, based on basic GNSS navigation algorithms, advanced carrier phase-based methods and their coupling to the ego-motion estimation framework are derived. Additionally, various implementation details and optimization steps of the system are described. The system is successfully deployed and tested within the two projects. After a critical examination and evaluation of the developed system, existing limitations and possible improvements are outlined.},
  subject      = {Drohne <Flugk{\"o}rper>},
  language  = {en}
}
@phdthesis{Scharnagl2022,
  author    = {Scharnagl, Julian},
  title     = {Distributed Guidance, Navigation and Control for Satellite Formation Flying Missions},
  isbn      = {978-3-945459-42-3},
  doi       = {10.25972/OPUS-28753},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-287530},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Ongoing changes in spaceflight - continuing miniaturization, declining costs of rocket launches and satellite components, and improved satellite computing and control capabilities - are advancing Satellite Formation Flying (SFF) as a research and application area. SFF enables new applications that cannot be realized (or cannot be realized at a reasonable cost) with conventional single-satellite missions. In particular, distributed Earth observation applications such as photogrammetry and tomography or distributed space telescopes require precisely placed and controlled satellites in orbit. Several enabling technologies are required for SFF, such as inter-satellite communication, precise attitude control, and in-orbit maneuverability. However, one of the most important requirements is a reliable distributed Guidance, Navigation and Control (GNC) strategy. This work addresses the issue of distributed GNC for SFF in 3D with a focus on Continuous Low-Thrust (CLT) propulsion satellites (e.g., with electric thrusters) and concentrates on circular low Earth orbits. However, the focus of this work is not only on control theory, but control is considered as part of the system engineering process of typical small satellite missions. Thus, common sensor and actuator systems are analyzed to derive their characteristics and their impacts on formation control. This serves as the basis for the design, implementation, and evaluation of the following control approaches: First, a Model Predictive Control (MPC) method with specific adaptations to SFF and its requirements and constraints; second, a distributed robust controller that combines consensus methods for distributed system control and \$H_{\infty}\$ robust control; and finally, a controller that uses plant inversion for control and combines it with a reference governor to steer the controller to the target on an optimal trajectory considering several constraints. The developed controllers are validated and compared based on extensive software simulations. Realistic 3D formation flight scenarios were taken from the Networked Pico-Satellite Distributed System Control (NetSat) cubesat formation flight mission. The three compared methods show different advantages and disadvantages in the different application scenarios. The distributed robust consensus-based controller for example lacks the ability to limit the maximum thrust, so it is not suitable for satellites with CLT. But both the MPC-based approach and the plant inversionbased controller are suitable for CLT SFF applications, while showing again distinct advantages and disadvantages in different scenarios. The scientific contribution of this work may be summarized as the creation of novel and specific control approaches for the class of CLT SFF applications, which is still lacking methods withstanding the application in real space missions, as well as the scientific evaluation and comparison of the developed methods.},
  subject      = {Kleinsatellit},
  language  = {en}
}
@phdthesis{Fischbach2017,
  author    = {Fischbach, Martin Walter},
  title     = {Enhancing Software Quality of Multimodal Interactive Systems},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-152723},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2017},
  abstract  = {Multimodal interfaces (MMIs) are a promising human-computer interaction paradigm. They are feasible for a wide rang of environments, yet they are especially suited if interactions are spatially and temporally grounded with an environment in which the user is (physically) situated. Real-time interactive systems (RISs) are technical realizations for situated interaction environments, originating from application areas like virtual reality, mixed reality, human-robot interaction, and computer games. RISs include various dedicated processing-, simulation-, and rendering subsystems which collectively maintain a real-time simulation of a coherent application state. They thus fulfil the complex functional requirements of their application areas. Two contradicting principles determine the architecture of RISs: coupling and cohesion. On the one hand, RIS subsystems commonly use specific data structures for multiple purposes to guarantee performance and rely on close semantic and temporal coupling between each other to maintain consistency. This coupling is exacerbated if the integration of artificial intelligence (AI) methods is necessary, such as for realizing MMIs. On the other hand, software qualities like reusability and modifiability call for a decoupling of subsystems and architectural elements with single well-defined purposes, i.e., high cohesion. Systems predominantly favour performance and consistency over reusability and modifiability to handle this contradiction. They thus accept low maintainability in general and hindered scientific progress in the long-term. This thesis presents six semantics-based techniques that extend the established entity-component system (ECS) pattern and pose a solution to this contradiction without sacrificing maintainability: semantic grounding, a semantic entity-component state, grounded actions, semantic queries, code from semantics, and decoupling by semantics. The extension solves the ECS pattern's runtime type deficit, improves component granularity, facilitates access to entity properties outside a subsystem's component association, incorporates a concept to semantically describe behavior as complement to the state representation, and enables compatibility even between RISs. The presented reference implementation Simulator X validates the feasibility of the six techniques and may be (re)used by other researchers due to its availability under an open-source licence. It includes a repertoire of common multimodal input processing steps that showcase the particular adequacy of the six techniques for such processing. The repertoire adds up to the integrated multimodal processing framework miPro, making Simulator X a RIS platform with explicit MMI support. The six semantics-based techniques as well as the reference implementation are validated by four expert reviews, multiple proof of concept prototypes, and two explorative studies. Informal insights gathered throughout the design and development supplement this assessment in the form of lessons learned meant to aid future development in the area.},
  subject      = {Echtzeitsystem},
  language  = {en}
}
@phdthesis{Spinner2017,
  author    = {Spinner, Simon},
  title     = {Self-Aware Resource Management in Virtualized Data Centers},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-153754},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2017},
  abstract  = {Enterprise applications in virtualized data centers are often subject to time-varying workloads, i.e., the load intensity and request mix change over time, due to seasonal patterns and trends, or unpredictable bursts in user requests. Varying workloads result in frequently changing resource demands to the underlying hardware infrastructure. Virtualization technologies enable sharing and on-demand allocation of hardware resources between multiple applications. In this context, the resource allocations to virtualized applications should be continuously adapted in an elastic fashion, so that "at each point in time the available resources match the current demand as closely as possible" (Herbst el al., 2013). Autonomic approaches to resource management promise significant increases in resource efficiency while avoiding violations of performance and availability requirements during peak workloads. Traditional approaches for autonomic resource management use threshold-based rules (e.g., Amazon EC2) that execute pre-defined reconfiguration actions when a metric reaches a certain threshold (e.g., high resource utilization or load imbalance). However, many business-critical applications are subject to Service-Level-Objectives defined on an application performance metric (e.g., response time or throughput). To determine thresholds so that the end-to-end application SLO is fulfilled poses a major challenge due to the complex relationship between the resource allocation to an application and the application performance. Furthermore, threshold-based approaches are inherently prone to an oscillating behavior resulting in unnecessary reconfigurations. In order to overcome the deficiencies of threshold-based approaches and enable a fully automated approach to dynamically control the resource allocations of virtualized applications, model-based approaches are required that can predict the impact of a reconfiguration on the application performance in advance. However, existing model-based approaches are severely limited in their learning capabilities. They either require complete performance models of the application as input, or use a pre-identified model structure and only learn certain model parameters from empirical data at run-time. The former requires high manual efforts and deep system knowledge to create the performance models. The latter does not provide the flexibility to capture the specifics of complex and heterogeneous system architectures. This thesis presents a self-aware approach to the resource management in virtualized data centers. In this context, self-aware means that it automatically learns performance models of the application and the virtualized infrastructure and reasons based on these models to autonomically adapt the resource allocations in accordance with given application SLOs. Learning a performance model requires the extraction of the model structure representing the system architecture as well as the estimation of model parameters, such as resource demands. The estimation of resource demands is a key challenge as they cannot be observed directly in most systems. The major scientific contributions of this thesis are: - A reference architecture for online model learning in virtualized systems. Our reference architecture is based on a set of model extraction agents. Each agent focuses on specific tasks to automatically create and update model skeletons capturing its local knowledge of the system and collaborates with other agents to extract the structural parts of a global performance model of the system. We define different agent roles in the reference architecture and propose a model-based collaboration mechanism for the agents. The agents may be bundled within virtual appliances and may be tailored to include knowledge about the software stack deployed in a specific virtual appliance. - An online method for the statistical estimation of resource demands. For a given request processed by an application, the resource time consumed for a specified resource within the system (e.g., CPU or I/O device), referred to as resource demand, is the total average time the resource is busy processing the request. A request could be any unit of work (e.g., web page request, database transaction, batch job) processed by the system. We provide a systematization of existing statistical approaches to resource demand estimation and conduct an extensive experimental comparison to evaluate the accuracy of these approaches. We propose a novel method to automatically select estimation approaches and demonstrate that it increases the robustness and accuracy of the estimated resource demands significantly. - Model-based controllers for autonomic vertical scaling of virtualized applications. We design two controllers based on online model-based reasoning techniques in order to vertically scale applications at run-time in accordance with application SLOs. The controllers exploit the knowledge from the automatically extracted performance models when determining necessary reconfigurations. The first controller adds and removes virtual CPUs to an application depending on the current demand. It uses a layered performance model to also consider the physical resource contention when determining the required resources. The second controller adapts the resource allocations proactively to ensure the availability of the application during workload peaks and avoid reconfiguration during phases of high workload. We demonstrate the applicability of our approach in current virtualized environments and show its effectiveness leading to significant increases in resource efficiency and improvements of the application performance and availability under time-varying workloads. The evaluation of our approach is based on two case studies representative of widely used enterprise applications in virtualized data centers. In our case studies, we were able to reduce the amount of required CPU resources by up to 23\% and the number of reconfigurations by up to 95\% compared to a rule-based approach while ensuring full compliance with application SLO. Furthermore, using workload forecasting techniques we were able to schedule expensive reconfigurations (e.g., changes to the memory size) during phases of load load and thus were able to reduce their impact on application availability by over 80\% while significantly improving application performance compared to a reactive controller. The methods and techniques for resource demand estimation and vertical application scaling were developed and evaluated in close collaboration with VMware and Google.},
  subject      = {Cloud Computing},
  language  = {en}
}
@phdthesis{Stier2022,
  author    = {Stier, Simon},
  title     = {Konzepte, Materialien und Verfahren f{\"u}r multimodale und hochintegrierte Elastomersensorik},
  doi       = {10.25972/OPUS-26087},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-260875},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2022},
  abstract  = {Dielektrische Elastomersensoren sind aus Elastomermaterialien aufgebaute Sensoren mit einem kapazitiven Messprinzip. In ihrer einfachsten Form bestehen sie aus einer dehnbaren Elastomerfolie als Dielektrikum, die beidseitig mit leitf{\"a}higen und ebenfalls dehnbaren Schichten als Elektroden bedeckt ist. Damit entsteht ein mechanisch verformbarer elektrischer Kondensator, dessen Kapazit{\"a}t mit der Dehnung der Elastomerfolie stetig ansteigt. Neben solchen Dehnungssensoren lassen sich mit einem geeigneten geometrischen Aufbau auch dielektrische Elastomersensoren realisieren, bei denen eine elektrische Kapazit{\"a}t mit einem angelegten Druck bzw. einer Kraft auf die Oberfl{\"a}che, mit einer Scherkraft oder mit der Ann{\"a}herung eines elektrisch leitf{\"a}higen oder polarisierbaren K{\"o}rpers wie z. B. der menschlichen Hand messbar ansteigt. Durch ihre vielf{\"a}ltige Funktion, intrinsische Verformbarkeit und fl{\"a}chige Ausgestaltung weisen Dielektrische Elastomersensoren erhebliches Potential in der Schaffung smarter, sensitiver Oberfl{\"a}chen auf. Dabei sind weitgehende und individuelle Adaptionen auf den jeweiligen Anwendungszweck durch Abstimmung geometrischer, mechanischer und elektrischer Eigenschaften m{\"o}glich. Die bisherige Forschung beschr{\"a}nkt sich jedoch auf die Analyse und Optimierung einzelner Aspekte ohne das Potential einer {\"u}bergreifenden systemischen Perspektive zu nutzen. Diese Arbeit widmet sich daher der Betrachtung der Sensorik als Gesamtsystem, sowohl horizontal - von abstrakten Modellen bis zur Fertigung und prototypischen Anwendung - als auch vertikal {\"u}ber die Komponenten Material, Struktur und Elektronik. Hierbei wurden in mehreren Teilgebieten eigenst{\"a}ndige neue Erkenntnisse und Verbesserungen erzielt, die anschließend in die {\"u}bergreifende Betrachtung des Gesamtsystems integriert wurden. So wurden in den theoretischen Vorarbeiten neue Konzepte zur ortsaufgel{\"o}sten Erfassung mehrerer physikalischer Gr{\"o}ßen und zur elektrischen und mechanischen Modellierung entwickelt. Die abgeleiteten Materialanforderungen wurden in eine tiefgehende Charakterisierung der verwendeten Elastomer-Kompositwerkstoffe {\"u}berf{\"u}hrt, in der neuartige analytische Methoden in Form von dynamischer elektromechanischer Testung und nanoskaliger Computertomographie zur Aufkl{\"a}rung der inneren Wechselwirkungen zum Einsatz kamen. Im Bereich der automatisierten Prozessierung wurde ein f{\"u}r die komplexen mehrschichtigen Elektrodenstrukturen geeigneter neuer lasergest{\"u}tzer substraktiver Fertigungprozess etabliert, der zudem die Br{\"u}cke zu elastischer Elektronik schl{\"a}gt. In der abschließenden Anwendungsevaluierung wurden mehrere ortsaufgel{\"o}ste und multimodale Gesamtsysteme aufgebaut und geeignete Messelektronik und Software entwickelt. Abschließend wurden die Systeme mit einem eigens entwickelten robotischen Testsystem charakterisiert und zudem das Potential der Auswertung mittels maschinellem Lernen aufgezeigt.},
  subject      = {Taktiler Sensor},
  language  = {de}
}