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Goldman, Thomas (author)This thesis proposes an unsupervised Physics-Informed Neural Network (PINN) for solving optimal control problems with the direct method to design and optimize transfer trajectories. The network adheres analytically to boundary conditions and includes the objective fitness as regularization in its loss function. A test scenario of a planar Earth...master thesis 2023
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Fernández Martín, Enrique (author)Temporarily Captured Orbiters (TCOs) - also known as Earth’s mini-moons – are meter-size asteroid fragments temporarily trapped in the Earth-Moon system. TCOs are challenging to identify due to their small size and high speed. While only two TCOs have been confirmed so far, studies suggest a constant presence of at least one TCO at any given...master thesis 2023
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Cowan, Sean (author)While the space industry expands rapidly and space exploration becomes ever more relevant, this thesis aims to automate the design of Multiple Gravity-Assist (MGA) transfers using low-thrust propulsion. In particular, during the preliminary design phase of space missions, the combinatorial complexity of MGA sequencing is large and current...master thesis 2023
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Martens, Roos (author)Recent studies have shown the feasibility of differential dynamic programming (DDP) in optimizing Earth-centered solar-sail trajectories. In order to further demonstrate the ability of DDP in the optimization of solar-sail trajectories, this work investigates the performance of DDP for optimizing interplanetary solar-sail trajectories. The...master thesis 2023
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De hulsters, Kevin (author)The Kuiper belt is one of the last mostly unexplored regions in the Solar System. Exploration of the Kuiper belt can greatly increase humanity's understanding of the Solar System's formation and evolution. The use of low-thrust propulsion for Kuiper belt missions has the potential to improve the payload mass of the mission due to the high...master thesis 2023
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Atmaca, D. (author), Pontani, Mauro (author)This research proposes a near-optimal feedback guidance based on nonlinear control for low-thrust Earth orbit transfers. For the numerical simulations, two flight conditions are defined: (i) nominal conditions and (ii) nonnominal conditions that account for the orbit injection errors and the stochastic failures of the propulsion system....conference paper 2023
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Andrade Castanheira, Francisco (author)The optimization of interplanetary, low-thrust trajectories is a computationally expensive aspect of preliminary mission design. To reduce the computational burden associated with it, surrogate models can be used as cheap approximations of the original fitness function. Training the surrogate models in a fully online manner can be done to...master thesis 2022
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Puts, Elmar (author)Many contemporary interplanetary missions use efficient low-thrust engines to reach the far corners of our Solar System. Their trajectories, however, have proven to be complicated to optimise due to the non-impulsive manoeuvres involved in low-thrust spaceflight. Even though shaping methods have been used extensively to reduce the computational...master thesis 2021
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Klavers, Robert (author)With the increase in the use of Solar Electric Propulsion for Earth-centered applications, comes an additional challenge in the field of low-thrust spacecraft trajectory optimization. This MSc project implements a hybrid optimization approach, using control parametrization to reduce the number of optimization parameters and orbital averaging to...master thesis 2021
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Leemans, Gijs (author)This thesis demonstrates the usability of differential dynamic programming (DDP) to obtain, for the first time, globally optimal Earth-centred solar-sail trajectories. To this end, DDP is combined with a global optimisation heuristic, monotonic basin hopping. The dynamical model is implemented as a two-body problem, augmented with an ideal solar...master thesis 2021
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Saz Ulibarrena, Veronica (author)The use of low-thrust propulsion for interplanetary missions requires the implementation of new methods for the preliminary design of their trajectories. This thesis proposes a method using the Monotonic Basin Hopping global optimization algorithm to find feasible trajectories with optimum use of the mass of fuel for the case in which the...master thesis 2021
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Brederveld, Jan (author)Various machine learning algorithms have been applied to find optimal lowthrust<br/>satellite trajectories, however, no fair comparison of their accuracy has been made yet. In this paper, two common and promising supervised machine learning algorithms are compared for their regression capacities:<br/>the artificial neural network and the...master thesis 2021
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Jordanov, Viktor (author)The idea of capturing an asteroid has gained more and more attention in recent years, sparked by rapid technological development and the growing general interest into the subject, both by scientists and commercial parties. The focus of this thesis project lies on transferring a near-Earth asteroid (NEA) from its original orbit to a safe, stable...master thesis 2020
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Jimenez-Lluva, David (author), Root, B.C. (author)Despite the ongoing advancements in low-thrust propulsion technology and the rise of all-electric satellite platforms, low-thrust spacecraft trajectory optimization remains a complex field of research. Shape-based approximations are predominant in interplanetary applications, but they are generally unsuitable for many-revolution trajectories,...journal article 2020
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Moreno Gonzalez, Andres (author)Low-thrust propulsion's main advantage is its efficient propellant usage. This holds for manoeuvres as well as for major orbital changes, both for LEO/MEO/GEO satellites and for interplanetary missions. In designing such missions, extensive numerical models as well as less demanding analytic first-order approximations can be used. A specific...master thesis 2020
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van Lith, Thijs (author)Low-thrust propulsion has gained more popularity over the past few decades because of its high efficiency. Interplanetary transfer trajectories in particular benefit from low-thrust propulsion, considering the typically high Delta V to be achieved. In order to allow a fast design of such missions, first-order, efficient representations of...master thesis 2020
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Gómez Pérez, Pablo (author)In this thesis, a new method to approximate the cost function of Low-Thrust, Multiple-Gravity-Assist interplanetary trajectories using a Machine Learning surrogate is proposed. This method speeds up the optimization process without fine tuning of the surrogate parameters for every individual case. The computational cost of obtaining training...master thesis 2020
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Stubbig, Leon (author)Building on recent advances in the fields of low-thrust trajectory optimization based on shaping methods, Artificial Neural Networks, and surrogate models in Evolutionary Algorithms, an investigation into a novel optimization routine is conducted. A flexible Python tool to evaluate linked trajectories in a two-body model based on the hodographic...master thesis 2019
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Kranen, Tommy (author)With all major bodies within the Solar System explored by at least a single fly-by, modern-day missions are becoming increasingly more demanding, up to a point where classical chemical propulsion can no longer supply the required ∆V. Increasingly more is relied upon low-thrust propulsion, characterised by its (very) low thrust force; long...master thesis 2019
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Bouwman, Lieve (author)Low-thrust trajectories can benefit the search for propellant-optimal trajectories, but increases in modeling complexity and computational load remain a challenge for efficient mission design and optimization. An approach for developing models utilizing Gaussian Process (GP) regression and classification is proposed to perform computationally...master thesis 2019
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