Svetlana Dicheva, Ph.D

Svetlana Dicheva, Ph.D

Paris et périphérie
2 k abonnés + de 500 relations

À propos

« Helps companies innovate »

Ph.D Engineer in Control of Autonomous…

Activité

Expérience

  • Graphique ALTEN
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    Guyancourt, France

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    Guyancourt, Île-de-France, France

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    France

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    Strasbourg, France

Formation

  • Graphique Université Paris-Saclay
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    Systèmes linéaires de commande, Commande robuste, Asservissement de régulation continu et échantillonné ; Machines et appareils électriques ; Centrales et réseaux électriques ; Électrotechnique; Informatique ; Sciences de Mathématiques et de Physiques ; Langages de programmation

Publications

  • 3D waypoint generation in a dynamic environment for an airborne launch mission

    Journal of Aerospace Engineering, Proceedings of the Institution of Mechanical Engineers, Part G, Volume 226, Issue 10

    The airborne launch vehicle, studied in this article, has to find an appropriate route to reach the mission goal, considering environment requirements and system constraints, for mission safety and efficiency. A method for three-dimensional waypoint generation based on an improved version of the A* algorithm with avoidance of detected obstacles is presented in this article. As the mission proceeds, the information about the environment is regularly updated. This information is considered in the…

    The airborne launch vehicle, studied in this article, has to find an appropriate route to reach the mission goal, considering environment requirements and system constraints, for mission safety and efficiency. A method for three-dimensional waypoint generation based on an improved version of the A* algorithm with avoidance of detected obstacles is presented in this article. As the mission proceeds, the information about the environment is regularly updated. This information is considered in the mission plan, yielding a revised sequence of waypoints, to reach one or multiple goal points, depending on their order of priority. The output of the algorithm is twofold: a dynamic waypoint generation and a shortest route refined regularly. Diverse obstacles such as turbulence zones, no-fly zones, storms, etc., are considered in the flight plan as soon as they are detected. Their locations and shapes are introduced into the path search space. The improved A* capabilities are tested via simulation in different scenarios.

    Other authors
    • Yasmina Bestaoui
    See publication
  • Trajectory generation in a 3D flight plan with obstacle avoidance for an Airborne Launch Craft

    4th European Conference on Aerospace Sciences and Systems (EUCASS 2011), St Petersburg : Russian Federation (2011)

    For mission safety and efficiency, the airborne launch vehicle has to find an appropriate route to reach the mission goal satisfying some environment requirements and system constraints. A modified 3D waypoints generation path based on an improved version of the A* algorithm is proposed to find an optimal flight plan solution. This simple geometric path planning procedure can be implemented in real time in order to plan a new reference trajectory. In a presence of detected obstacles such as…

    For mission safety and efficiency, the airborne launch vehicle has to find an appropriate route to reach the mission goal satisfying some environment requirements and system constraints. A modified 3D waypoints generation path based on an improved version of the A* algorithm is proposed to find an optimal flight plan solution. This simple geometric path planning procedure can be implemented in real time in order to plan a new reference trajectory. In a presence of detected obstacles such as turbulence zones, no-fly zones, storms, etc., the information about the environment is regularly updated. This route reaches one or multiple goal points important for the mission success in order of their priority. The improved A* capabilities are tested via simulations in different scenario.

    Other authors
    • Yasmina Bestaoui
    See publication
  • Route finding for an autonomous aircraft

    Proc. of the 49th AIAA Aerospace Sciences Meeting - 49th AIAA Aerospace Sciences Meeting, Orlando, FL : États-Unis (2011)

    Other authors
    • Yasmina Bestaoui

Langues

  • Bulgare

    Bilingue ou langue natale

  • Anglais

    Capacité professionnelle complète

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