Part of a Book
Refine
Year of publication
Institute
- Fachbereich Bauingenieurwesen (86)
- Fachbereich Energietechnik (83)
- Fachbereich Wirtschaftswissenschaften (72)
- Fachbereich Elektrotechnik und Informationstechnik (64)
- Fachbereich Medizintechnik und Technomathematik (62)
- Fachbereich Architektur (48)
- Fachbereich Luft- und Raumfahrttechnik (43)
- Fachbereich Gestaltung (40)
- IfB - Institut für Bioengineering (37)
- Fachbereich Maschinenbau und Mechatronik (32)
- Solar-Institut Jülich (24)
- Fachbereich Chemie und Biotechnologie (21)
- INB - Institut für Nano- und Biotechnologien (9)
- Nowum-Energy (8)
- ECSM European Center for Sustainable Mobility (7)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (6)
- ZHQ - Bereich Hochschuldidaktik und Evaluation (6)
- IBB - Institut für Baustoffe und Baukonstruktionen (4)
- Verwaltung (4)
- IaAM - Institut für angewandte Automation und Mechatronik (1)
- Kommission für Forschung und Entwicklung (1)
Has Fulltext
- no (567) (remove)
Document Type
- Part of a Book (567) (remove)
Keywords
- Aktionskunst (4)
- Papierkunst (4)
- Wind Tunnel (3)
- Autonomous mobile robots (2)
- Central receiver power plant (2)
- Central receiver system (2)
- Concentrated solar collector (2)
- Concentrated systems (2)
- Datenschutz (2)
- Datenschutzrecht (2)
We present a new approach to the problem of optimal control of solar sails for low-thrust trajectory optimization. The objective was to find the required control torque magnitudes in order to steer a solar sail in interplanetary space. A new steering strategy, controlling the solar sail with generic torques applied about the spacecraft body axes, is integrated into the existing low-thrust trajectory optimization software InTrance. This software combines artificial neural networks and evolutionary algorithms to find steering strategies close to the global optimum without an initial guess. Furthermore, we implement a three rotational degree-of-freedom rigid-body attitude dynamics model to represent the solar sail in space. Two interplanetary transfers to Mars and Neptune are chosen to represent typical future solar sail mission scenarios. The results found with the new steering strategy are compared to the existing reference trajectories without attitude dynamics. The resulting control torques required to accomplish the missions are investigated, as they pose the primary requirements to a real on-board attitude control system.
Kombination quantitativer und qualitativer Methoden zur Untersuchung der Studieneingangsphase
(2019)
Kombination qualitativer und quantitativer Methoden zur Untersuchung der Studieneinstiegsphase
(2019)
Mit Hilfe der Kombination von qualitativen und quantitativen Verfahren zielen Mixed-Methods Ansätze darauf ab, einen vertieften Einblick in komplexe Gegenstände zu gewinnen. In der Hochschulbildungsforschung finden sie zunehmend Anklang, da sie besonders geeignet erscheinen, das vielschichtige Wirkungsgefüge zu erfassen, das das Lehren und Lernen an Hochschulen auszeichnet. Der Beitrag geht den Potenzialen von Mixed-Methods Ansätzen am Beispiel einer Studie zur Studieneingangsphase nach, die den Wirkungszusammenhang zwischen der Nutzung von Angeboten für den Studieneinstieg und der Entwicklung von Studierfähigkeit untersucht. Der Beitrag veranschaulicht die Integration von Methoden und Ergebnissen, um Chancen und Grenzen von Mixed-Methods Studien für die Hochschulbildungsforschung zu diskutieren.
Next Generation Manufacturing promises significant improvements in performance, productivity, and value creation. In addition to the desired and projected improvements regarding the planning, production, and usage cycles of products, this digital transformation will have a huge impact on work, workers, and workplace design. Given the high uncertainty in the likelihood of occurrence and the technical, economic, and societal impacts of these changes, we conducted a technology foresight study, in the form of a real-time Delphi analysis, to derive reliable future scenarios featuring the next generation of manufacturing systems. This chapter presents the organization dimension and describes each projection in detail, offering current case study examples and discussing related research, as well as implications for policy makers and firms. Specifically, we highlight seven areas in which the digital transformation of production will change how we work, how we organize the work within a company, how we evaluate these changes, and how employment and labor rights will be affected across company boundaries. The experts are unsure whether the use of collaborative robots in factories will replace traditional robots by 2030. They believe that the use of hybrid intelligence will supplement human decision-making processes in production environments. Furthermore, they predict that artificial intelligence will lead to changes in management processes, leadership, and the elimination of hierarchies. However, to ensure that social and normative aspects are incorporated into the AI algorithms, restricting measurement of individual performance will be necessary. Additionally, AI-based decision support can significantly contribute toward new, socially accepted modes of leadership. Finally, the experts believe that there will be a reduction in the workforce by the year 2030.