Person:
Feron, Eric

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Publication Search Results

Now showing 1 - 3 of 3
  • Item
    A full scale atmospheric flight experimental research environment for Titan exploration devices
    (Georgia Institute of Technology, 2019-12) Afman, J. Pablo ; Feron, Eric
    We propose to develop a full-accuracy flight test environment for Titan, the largest moon of Saturn. The experiment would use reduced-g atmospheric flights with a standard aircraft, with appropriate equipment, including a cooled, possibly pressurized environmental chamber.
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    A full scale atmospheric flight experimental research environment for the Mars helicopter
    (Georgia Institute of Technology, 2019-09-09) Afman, J. Pablo ; Feron, Eric ; Walker, Mitchell L. R.
    This paper proposes to test a full-accuracy ight test experiment for the Mars helicopter through an atmospheric reduced-g flight housing a vacuum chamber.
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    Mathematic Models for Aircraft Trajectory Design: A Survey
    (Georgia Institute of Technology, 2013-02) Delahaye, D. ; Puechmorel, S. ; Feron, Eric ; Tsiotras, Panagiotis
    Air traffic management ensure the safety of flight by optimizing flows and maintaining separation between aircraft. After giving some definitions, some typical feature of aircraft trajectories are presented. Trajectories are objects belonging to spaces with infinite dimensions. The naive way to address such problem is to sample trajectories at some regular points and to create a big vector of positions (and or speeds). In order to manipulate such objects with algorithms, one must reduce the dimension of the search space by using more efficient representations. Some dimension reduction tricks are then presented for which advantages and drawbacks are presented. Then, front propagation approaches are introduced with a focus on Fast Marching Algorithms and Ordered upwind algorithms. An example of application of such algorithm to a real instance of air traffic control problem is also given. When aircraft dynamics have to be included in the model, optimal control approaches are really efficient. We present also some application to aircraft trajectory design. Finally, we introduce some path planning techniques via natural language processing and mathematical programming.