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Title: A Search Algorithm for Stochastic Optimization in Initial Orbit Determination
Other Titles: Un algoritmo di ricerca per ottimizzazione stocastica nella Determinazionale Orbitale Iniziale
Keywords: orbit determination
genetic algorithm
stochastic optimization
angular observations
Issue Date: 25-Feb-2014
Abstract: Optical observations constitute a source of angular measurements of a satellite pass. Commonly, these observations have short durations with respect to the satellite orbit period. As a consequence, the use of classical orbit determination algorithms, as Laplace, Gauss or Escobal methods, give very poor results. This thesis faces with the problem of estimating the orbital parameters of an orbiting object using its optical streak acquired by a telescope or a high accuracy camera. In this thesis a new technique is developed for the Initial Orbit Determination from optical data by exploiting the genetic algorithms. The algorithm works without restrictions on the observer location. A recent challenging problem is the Initial Orbit Determination with space- based observations. This thesis focuses on the problem of determinating the orbital parameters of a satellite from an orbiting observer in LEO, using short time observations. We present the results based on a simulation with the observer on a sun-synchronous orbit with a single observation of just 60 s. Monte Carlo simulations are presented with di erent levels of sensor accuracy to show the reliability of the algorithm. The algorithm is able to yield a candidate solution for each observation. The coplanar case is analyzed and discussed as well. Several test show the reliability of the algorithm varying the number of the observations, the initialization method, the observation period and the noise seed.
Research interests: Attitude control, orbit propagation, mission analysis, technological development, satellite subsystems, mission design
Skills short description: I believe that my motivation and my deep passion for research and innovation in space engineering will help me to work gladly in this area. I like to go from the idea in theory to implementation. In general, I am positive, like to work hard, and enjoy research and development. I like to have practical experience together with theoretical understanding. I am able to work alone and in a group, but my best desire is being part of a successful team. I can work under stress, and I like to learn new things. I have always worked with time scheduled activities, focusing on satisfying the needs of the customers as best as I can. I like to work in a multicultural environment.
Personal skills keywords: mission analysis
guidance navigation and control
space robotics
genetic algorithms
initial orbit determination

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Ansalone Tesi PhD.pdfAnsalone, Tesi di dottorato16.91 MBAdobe PDF

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CurriculumVitae.pdf 99.39 kBAdobe PDF

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