A5062149964- Advanced Aircraft Design and Technologies
- Rocket and propulsion systems research
- Systems Engineering Methodologies and Applications
- Space Satellite Systems and Control
- Inertial Sensor and Navigation
- Air Traffic Management and Optimization
- Spacecraft Design and Technology
- Manufacturing Process and Optimization
- Simulation Techniques and Applications
- Real-time simulation and control systems
- Radiation Effects in Electronics
- Aerospace Engineering and Control Systems
- Advanced Combustion Engine Technologies
- HVDC Systems and Fault Protection
- Turbomachinery Performance and Optimization
- GNSS positioning and interference
- Silicon Carbide Semiconductor Technologies
- Technology Assessment and Management
- Computational Fluid Dynamics and Aerodynamics
- Astronomical Observations and Instrumentation
- Model-Driven Software Engineering Techniques
- Distributed and Parallel Computing Systems
- Probabilistic and Robust Engineering Design
- Software Reliability and Analysis Research
- Advanced Multi-Objective Optimization Algorithms
Universität der Bundeswehr München
2024
SpaceTech (Germany)
2024
RWTH Aachen University
2017-2021
Artificial intelligence (AI), particularly machine learning (ML), is widely applied in fields such as medicine, autonomous driving, and manufacturing. Over time, ML has also seen increasing use space geosciences, where its algorithms hold the potential to enhance orbit prediction determination (OD) by utilizing measurement data. However, models like Neural Networks (ANNs) are limited problems with abundant data often considered "black boxes", their predictions lack interpretability a...
In this paper, developed in the context of Clean Sky 2 project SIENA (Scalability Investigation hybrid-Electric concepts for Next-generation Aircraft), an extensive analysis is carried out to identify and accelerate development innovative propulsion technologies architectures that can be scaled across five aircraft categories, from small General Aviation airplanes long-range airliners. The assessed propulsive consider various components such as batteries fuel cells provide electricity well...
In recent years, the field of space situational awareness (SSA) has gained increasing attention, driven by rapid rise in both active satellites and orbital debris. Therefore, being able to predict orbit a resident object (RSO) as accurately possible is more critical than ever order reduce collision risks preserve environment. However, incomplete knowledge debris geometry, uncertain characteristics, or simplified force models can cause prediction errors which exceed orders several kilometers...
As part of H2020 EU project AGILE, A Collaborative System Systems Multidisciplinary Design Optimization research approach is presented in this paper. This relies on physics-based analysis to evaluate the correlations between airframe design, as well propulsion, aircraft systems, aerodynamics, structures and emission, from early design process, exploit synergies within a simultaneous optimization process. Further, disciplinary modules multiple organizations, involved are integrated...
Abstract Traditional system technology modeling in conceptual aircraft design mainly relies on empirical knowledge and methods derived from conventional systems, for which valid architecture designs are known. Since these systems have been proven especially a safety perspective, detailed analyses usually not necessary. For unconventional innovative technologies, contrary, new architectures to be designed has, therefore, taken into account. Therefore, the application of model-based assessment...
The research and innovation AGILE project developed the next generation of aircraft Multidisciplinary Design Optimization processes, which target significant reductions in development costs time to market, leading more cost-effective greener solutions. high level objective is reduction lead 40% with respect current state-of-the-art. 19 industry, academia partners from Europe, Canada Russia solutions cope challenges collaborative design optimization complex products. In order accelerate...
After almost three decades of evolution, it is not yet possible to apply MDO in collaborative projects within large, heterogeneous and distributed teams experts, whilst nowadays necessary for the development any complex product. The H2020 project AGILE took challenge devising a novel paradigm swiftly set up deploy large systems, that are easy (re)configure monitor during whole process, from requirements definition data post-processing. main outcome an advanced tools methods contributing 3rd...
A new system is presented that enables the visualization of large multidisciplinary design optimization (MDO) problems and their solution strategy. It was developed within scope European project AGILE. In AGILE, collaborative MDO performed in large, heterogeneous teams experts by solving using a collection analysis tools. This paper focuses on visualizations required to support formulation phase an project. The Knowledge graph-based AGILE Design for Multidisciplinary Optimization System...
The present paper deals with the design, analysis and optimization of a 90 passengers turboprop aircraft design range 1200 nautical miles cruise Mach number equal to 0.56. pres cribed is one use cases AGILE European project, aiming provide 3rd generation multidisciplinary chain, following collaborative remote paradigm, through an heterogenous team experts. The set-up involving tools provided by partners distributed worldwide run locally from side. A complete experiment, focused on wing...
This paper presents recent developments within the Multidisciplinary Integrated Conceptual Aircraft Design and Optimization environment (MICADO). MICADO has been developed at Institute of Aerospace Systems RWTH Aachen University since 2008; last full status overview, however, was given in 2012. In course years, not only underlying software architecture but also level detail different disciplines conceptual aircraft design have continuously improved. field architecture, developer-...
Abstract This paper presents an overview and preliminary system architecture evaluation results of the project SIENA developed under European Union Clean Sky 2 Program Thematic Topics. The ambition is to accelerate development novel aircraft propulsion technologies by identification that are scalable across different categories. One main tasks within this process aircraft-level various technology options. For this, a conceptual design software at Politecnico di Milano, on-board systems...
The ambitious climate objectives set by the European Commission within scope of ACARE Flight Path 2050 call for significant improvements in terms efficiency future aircraft configurations [1]. One main drivers these is development novel propulsion systems. Therefore, stakeholders aviation sector are increasingly interested electric concepts, due to higher and reduction local emissions. While small general applications (CS-23) full concepts seem realistic medium-term applications, field large...
This paper presents an integrated software framework for preliminary aircraft design with a main focus on the integration and evaluation of (hybrid) electric propulsion concepts. The is extension to suite MICADO (Multidisciplinary Integrated Conceptual Aircraft Design Optimization), which has been developed at Institute Aerospace Systems (ILR) RWTH Aachen University since 2008. concepts requires significant adaptations within environment, such as powertrain design, mass estimation, mission...
This paper presents a critical discussion on the automated problem formulation and workflow creation approach developed within European project AGILE to support accelerate setup of aircraft MDO workflows in large, heterogeneous team experts. The framework is based methodological approach, called paradigm, where complete system formulated executed five main steps. In Step I requirements are collected, II repository disciplinary tools established, III design optimization structured according...
In Precise Orbit Determination (POD), employing proper methods for pre-processing tracking data is crucial not only to mitigate noise but also identify potential unmodeled effects that may elude the prediction model of POD algorithm. Unaccounted can skew parameter estimation, causing certain parameters assimilate and deviate from their true values. Therefore, enhancing ultimately contributes refining model.The Rosetta spacecraft, during its two-year mission alongside comet...
AbstractIn recent years, the integration of artificial intelligence (AI), especially machine learning (ML), has found entrance in various fields, including industry, medicine, self-driving cars and daily life. However, application ML tools space science is still its early stages holds potential to complement traditional methods. This study investigates effectiveness algorithms, with a focus on Physics Informed Neural Networks (PINNs) expand or support classical methods orbit propagation...
AbstractAccurate orbit determination is essential for mission planning, execution, and maintaining space situational awareness, ensuring the success of missions effective management traffic. This particularly critical deep missions, where precise navigation trajectory estimation are vital conducting scientific research. While traditional numerical methods prediction have proven to be robust accurate, they can limited when faced with dynamic parameters or unmodeled forces. Integrating machine...
AGILEProject is developing the 3 rd generation MDO processes, which will support development of next aerospace products.The establishment effective collaborative design methodologies currently acknowledged as key enabler for future product processes.At same time, need to introduce techniques within educational activities also well recognized by Academic, Research and Industrial communities.AGILE project supported European Commission's H2020 Programme, setting "AGILE Paradigm", a conceptual...
Abstract This article proposes a power hybridization factor-dependent DC supply grid layout and fault protection for hybrid electric aircraft. It is based on regulatory review an analysis of the components regarding their impact protection. The findings are applicable to medium-voltage high-temperature superconductor-based electrical drive trains.