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Aircraft Conflict Detection and Resolution in Stochastic Environment

Student(en):

Betreuer:

Maryam Kamgarpour, Manuel Soler
Beschreibung:

Introduction
    Air Traffic Management (ATM) is responsible for safe, efficient and sustainable operation in civil aviation. Currently, ATM imposes certain trajectory restrictions to guarantee safety and ease the task of air traffic control operators. Some of these restrictions result in non-minimal fuel consumptions and hence higher operating costs and emissions. The future ATM is envisioned to be built around the so called Trajectory Based Operational (TBO) concept, which would allow aircraft more freedom to optimize their trajectories according to airlines’ business interests. An important problem in implementing the TBO concept is designing trajectories that are optimal with respect to a cost function, while being safe in the presence of hazardous weather and other aircraft. The objective of this thesis is to analyze the effects of uncertainties in weather forecast on aircraft trajectories and to design safe and optimized aircraft trajectories accounting for these uncertainties.

Project Description
    The student will use historical and forecast weather data in order to develop a suitable stochastic model of wind and hazardous weather affecting aircraft trajectories. Based on the models developed for the stochastic weather, the student will explore different stochastic optimal control frameworks to address the problem of maximizing safety of the aircraft while optimizing a desired performance index, such as fuel consumption. The control input will include heading, speed, or altitude changes as discrete maneuvers for the aircraft. An example of a heading change maneuver to affect conflict is shown. For small problem dimensions, affects of uncertainty of the weather forecast in aircraft conflict avoidance will be quantified through reachability based algorithms. For problems involving multiple aircraft, stochastic optimization schemes will be developed to optimize aircraft trajectories while maximizing its probability of safety. This work will be in collaboration with Professor Manuel Soler, Universidad Carlos III, in Madrid. There is also the opportunity to spend part of the project in Universidad Carlos III of Madrid as a student exchange.

Required Skills
    dynamical systems, control theory, optimization, Matlab.

Acquired Skills
    aircraft dynamics modeling, stochastic modeling, optimal control, safety and reachability problems in stochastic environment
Advisors
    Maryam Kamgapour, Automatic Control Lab, mkamgar@control.ee.ethz.ch
    Manuel Soler, Universidad Carlos III, Madrid, masolera@ing.uc3m.es





Weitere Informationen
Professor:

Maryam Kamgarpour
Projektcharakteristik:

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Anzahl StudentInnen:
Status: done
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