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Archive

  • 2017/08/15

    Student Assistant for Lecture Automatic Control

    Im kommenden Wintersemester 2017/18 findet wieder die Lehrveranstaltung „Systemtheorie und Regelungstechnik“ für alle Bachelor-Studenten/innen im fünften Semester des Studien- gangs „Mechanical and Process Engineering“ statt. Hierfür werden Tutoren/innen gesucht, die den Übungsbetrieb unterstützen und aktiv mitgestalten sollen.

  • 2017/08/15

    Student Assistant in the Field of Innovative Taxi Technologies

    The Institute of Flight Systems and Automatic Control (FSR) is now looking for a student assistant in the field of innovative taxi technologies. The projects deal with the assessment of future taxi procedures and the evaluation of trajectory-based dispatch towing operations.

  • 2017/08/08

    Integration of a Condition Monitoring System into the FSR-X8 Multirotor Research Copter

    ADP

    Multirotor UAVs offer a wide range of applications in numerous business areas. The economic benefits for civil applications are, however, often only achievable with the aid of semi-autonomously systems. These systems do not need pilots and manual flight scheduling, thus saving high personnel and training costs. To increase the system’s safety, a research project at FSR deals with a condition-based determination of small multicopter’s actual flight performance. Knowledge of the actual flight performance enables an evaluation of mission risk for adaptive mission planners or an optimization of parameters for adaptive flight controllers.

  • 2017/10/27

    Measurement Campaign for Evaluating Ground Noise on Airports

    ADP / ARP

    Due to increasing air traffic passenger volumes and the associated expansion of airports (e.g. Frankfurt am Main), airborne noise is becoming a major issue. But the problem is not only noise produced by overflying aircraft, ground noise emitted by taxiing aircraft as well as engine tests also play a major role and can pose a disturbance to the population living in the immediate vicinity of the airport. An introduction of electromobile technologies for towing and taxiing of aircraft aims to reduce the level of the ambient noise.

  • 2017/07/28

    Generate Situation Awareness in Order to Support Pilot Decision-Making

    In the future cockpit, only one pilot may operate the aircraft during the cruise phase (“Reduced Crew Operations”). At FSR, the “Future Flight Deck” project currently investigates if and how such a scenario with only one pilot could be implemented. Autonomous systems will assume functions of the second pilot in order to reduce the workload of the remaining pilot.

  • 2017/07/18

    Development of a Model for the Flight Control of a Hybrid Unmanned Aerial Vehicle

    Master's Thesis

    Many aircrafts are inherent over-actuated regarding their control signals. Especially in the context of unmanned aerial vehicles (UAVs) such redundancies could be helpful to facilitate licensing for commercial operations over inhabited areas. Therefore, new fault-tolerant control algorithms are to be developed and tested at the Institute of Flight Systems and Automatic Control using the example of hybrid UAVs. The object of research is a fixed-wing pusher configuration with four additional rotors, which enables it to vertically take-off and land (VTOL-UAV).

  • 2017/07/18

    Fault detection and isolation for an over-actuated flight system

    Master's Thesis

    Many aircrafts are inherent over-actuated regarding their control signals. This can be advantageous especially in the context of unmanned aircrafts, where failures of certain actuator functions might occur in critical situations. In such cases, the redundant actuators can be used to fulfill the controller's objectives, thus increasing the overall operational safety. To test such methods new fault-tolerant control algorithms are developed at the Institute of Flight Systems and Automatic Control using the example of over-actuated flight systems.

  • 2017/07/10

    Available Bachelor / Master Thesis in the field of data analytics in aviation

    Identification of relevant features for fuel consumption prognoses of airplanes with Machine Learning algorithms

    The scope of this thesis is the identification of relevant features in full flight data for the purpose of fuel consumption prognoses. Machine Learning algorithms for feature subset selection such as wrapper and principal component analysis promise a reduction of input parameters to relevant features. This intends to use data-based and iterative learning models such as neural networks or decision trees more efficiently and to improve prognoses results. Outcomes should be validated with results of existing frameworks.

  • 2017/07/06

    Support the Pilot Decision-Making During Weather Events En-Route

    In the future cockpit, only one pilot may operate the aircraft during the cruise phase (“Reduced Crew Operations”). Autonomous systems will assume functions of the second pilot in order to reduce the workload of the remaining pilot. At FSR, the “Future Flight Deck” project currently investigates whether and how such a scenario could be implemented.

  • 2017/06/29

    Formula 1 Steering Wheels in an Aircraft Cockpit?

    Master's Thesis

    Formula 1 racing cars are controlled by a fully integrated steering wheel. This does not only include steering the car, but contains more than 100 different displays, switches and adjustment possibilities nowadays. A similar, yet not as drastic, development can be observed with the steering wheels of cars. Airplanes are controlled via sidesticks (Airbus) or control columns (so-called “Yokes”, Boeing). To date, however, these have mainly been used for direct flight path control. This thesis will evaluate integrated control columns for airplanes.