Trajectory design for BepiColombo based on navigation requirements

Jehn, R.; García, David Álvarez; Schoenmaekers, J.; Companys, V.

doi:10.7446/jaesa.0401.01

Cited by 3 publications

(5 citation statements)

References 2 publications

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“…They all have proven to be effective for the design of low-thrust transfers. For instance, MANTRA and DITAN were used to design the multiple-flyby trajectory for Bepicolombo [142], while jTOP was used for the the trajectory for the microspacecraft PROCYON [68]. They implement multibody dynamics, but require the user to provide the sequence of flybys as well as an appropriate initial guess to converge.…”

Section: Direct Methodsmentioning

confidence: 99%

A Survey on Low-Thrust Trajectory Optimization Approaches

2021

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In this paper, we provide a survey on available numerical approaches for solving low-thrust trajectory optimization problems. First, a general mathematical framework based on hybrid optimal control will be presented. This formulation and their elements, namely objective function, continuous and discrete state and controls, and discrete and continuous dynamics, will serve as a basis for discussion throughout the whole manuscript. Thereafter, solution approaches for classical continuous optimal control problems will be briefly introduced and their application to low-thrust trajectory optimization will be discussed. A special emphasis will be placed on the extension of the classical techniques to solve hybrid optimal control problems. Finally, an extensive review of traditional and state-of-the art methodologies and tools will be presented. They will be categorized regarding their solution approach, the objective function, the state variables, the dynamical model, and their application to planetocentric or interplanetary transfers.

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Section: Direct Methodsmentioning

confidence: 99%

A Survey on Low-Thrust Trajectory Optimization Approaches

2021

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“…They all have proven to be effective for the design of low-thrust transfers. For instance, MANTRA and DITAN were used to design the multiple-flyby trajectory for Bepicolombo [8], while jTOP was used for the the trajectory for the micro-spacecraft PROCYON [41]. They implement multi-body dynamics, but require the user to provide the sequence of flybys as well as an appropriate initial guess to converge.…”

Section: Direct Methodsmentioning

confidence: 99%

“…Bepicolombo [8], the joint ESA/JAXA mission. It was launched in 2018 and will arrive at Mercury in late 2025 after a flyby of Earth, two flybys of Venus and six flybys of Mercury.…”

Section: The Role Of Electric Propulsionmentioning

confidence: 99%

“…Boeing have also introduced partial electric orbit raising capabilities on their heavy 702HP platform, whose first application was Viasat-2 (2017). 8 Meanwhile, Airbus is studying the hybrid transfer concept on its large E3000SXL and E3000LX platforms. 9 Satellite-constellations operators at medium and low orbits are also considering EP.…”

Section: All Chemical All-electric All-electricmentioning

confidence: 99%

“…EMTG is freely available to download at https://opensource.gsfc.nasa.gov/projects/emtg/8 PaGMO is freely available to download at https://github.com/esa/pagmo…”

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confidence: 99%

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Heuristic method based on Generalized Logarithmic Spirals for Low-Thrust trajectory design

González

Sanjurjo-Rivo

Arnedo

2016

AIAA/AAS Astrodynamics Specialist Conference

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Department of Bioengineering and Aerospace EngineeringHybrid Multi-Objective Trajectory Optimization of Low-Thrust Space Mission Design by David Morante GonzálezThe overall goal of this dissertation is to develop multi-objective optimization algorithms for computing low-thrust trajectories. The thesis is motivated by the increasing number of space projects that will benefit from low-thrust propulsion technologies to gain unprecedented scientific, economic and social return. The low-cost design of such missions and the inclusion of concurrent engineering practices during the preliminary design phase demand advanced tools to rapidly explore different solutions and to benchmark them with respect to multiple conflicting criteria. However, the determination of optimal low-thrust transfers is a challenging task and remains an active research field that seeks performance improvements. This work contributes to increase the efficiency of searching wide design spaces, reduce the amount of necessary human involvement, and enhance the capabilities to include complex operational constraints. To that end, the general low-thrust trajectory optimization problem is stated as a multi-objective Hybrid Optimal Control Problem. This formulation allows to simultaneously optimize discrete decisionmaking processes, discrete dynamics, and the continuous low-thrust steering law. Within this framework, a sequential two-step solution approach is devised for two different scenarios. ContentsAcknowledgements v

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Lambert-Free Solution of Multiple-Gravity-Assist Optimization Problem

Gavira-Aladro,

Bombardelli

2024

Journal of Guidance, Control, and Dynamics

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A new method to find optimized multiple-gravity-assist (MGA) interplanetary trajectories that does not require the solution of Lambert’s problem is presented. The method, applicable to MGA sequences with ballistic transfer arcs and flybys, exploits Godal’s hyperbolic locus of incoming and outgoing velocities connecting the different trajectory legs combined with the [Formula: see text] sphere flyby constraint. The intersection between the two loci, when it exists, can be used to find feasible candidate solutions for each interplanetary trajectory segment and can be obtained analytically after solving a quartic equation. A time-of-flight compatibility condition can then be introduced that replaces the classical [Formula: see text]-matching constraint for locating properly phased transfer arcs, whereby opening the door to a very significant improvement in computational efficiency. The implementation of the method and its applicability to interplanetary trajectory optimization and moon tours are discussed in detail using representative test cases.

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Trajectory design for BepiColombo based on navigation requirements

Cited by 3 publications

References 2 publications

A Survey on Low-Thrust Trajectory Optimization Approaches

A Survey on Low-Thrust Trajectory Optimization Approaches

Heuristic method based on Generalized Logarithmic Spirals for Low-Thrust trajectory design

Lambert-Free Solution of Multiple-Gravity-Assist Optimization Problem

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