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Item type:Publication, Access status: with files , TechMAPS: technology management for the architecting process of aircraft on-board systemsDue to climate change, low-emission aircraft with novel technologies, such as hydrogen-powered fuel cells, are being investigated. However, navigating the technology knowledge is challenging due to the vast number of existing and emerging technologies. Hence, supporting the engineer during the complex task of exploring, comparing, and selecting technologies from the extensive design space as part of the aircraft conceptual design phase is crucial. To address this challenge, the Technology Management for the Architecting Process of aircraft on-board Systems (TechMAPS) method is proposed. TechMAPS is used to navigate and manage available and emerging technologies. Moreover, the method supports the conservation and provision of technology knowledge in a standardized and formalized way. To this end, TechMAPS consists of three parts: a technology radar to identify technologies, a formalized ontology-driven database to conserve knowledge in a machine-readable, queryable way, and standardized technology fact sheets to provide concise data to the engineer. TechMAPS is exemplarily applied to different technologies of a hybrid-electric power train, i.e., a fuel cell, an existing electric motor, and battery technologies, to demonstrate the method’s capabilities to present the landscape of technologies for different systems and abstraction levels. The study highlights the effectiveness of TechMAPS for technology management but also outlines aspects that need further research, such as creating an automated and standardized interface to and from the database.Publicationtype: Journal Article45 57 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Nonlinear system identification of a UAV model with distributed aerodynamics and flexible structureThis paper presents the nonlinear system identification of a slightly flexible 25 kg fixed-wing UAV in the time-domain using a computationally efficient distributed aerodynamics model and a linear structural dynamics representation. The equations of motion are formed by making use of the free vibration modes of the structure and the mean axes formulation. The structural modes and mode shapes are determined from ground vibration tests. The distributed aerodynamics, accounting for elastic deformations, are modeled using a quasi-steady stability and control derivative approach and by applying strip theory. Initial distributions for the derivatives are obtained from vortex-lattice-method calculations. For matching the model response to the measured response, parameters for scaling the initial derivative distributions are introduced. The flexible model is subsequently identified based on flight test data using the output error method in the time-domain and maximum-likelihood estimation. A good overall identification result is achieved with a close match of the fast aircraft dynamics. Finally, an evaluation is given on the suitability of the identified model for real-time simulation, loads’ estimation, and active load control law design.Publicationtype: Conference Paper95 32 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , A semi-automated approach for requirement-based early validation of flight control platformsWith the current trends in aviation like Single-Pilot-Cockpits and more autonomous functions in aircraft, flight control avionics are bound to become more complex. Future platforms will need to compensate for one or even both pilots, which will require systems that are more reliable. However, state-of-the-art development of flight control avionics does not yet support these demands efficiently. The development process involves numerous stakeholders who are communicating without streamlined interfaces. This leads to a slow and error-prone process during development. New methods are required to improve efficiency and to pave the way for future technologies. In this work, the authors introduce a semi-automatic toolchain which derives usable code for the configuration of devices from natural language requirements. The requirements are noted through modular components, stored as a model-based configuration file and are transformed into executables in the last step. This novel approach allows engineers to input their expertise when defining requirements, while removing tedious transformation tasks. Through automatic configuration testing, the validity of the approach is confirmed.Publicationtype: Journal Article71 226