2017
DOI: 10.2514/1.a33646
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Design Exploration of Low-Thrust Space Trajectory Problem for DESTINY Mission

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Cited by 5 publications
(5 citation statements)
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“…The SOR trajectory design significantly impacts the spacecraft system design, including radiation tolerance, power budget during eclipses, lifetime, and IES ∆V budget. In the preliminary analyses, we apply a Multi-Objective Evolutionary Algorithm (MOEA) [6] to the entire SOR trajectory considering the radiation environment, eclipse duration, time of flight, and fuel consumption. The result showed that the trajectory could be divided into three sub-phases for an enhanced optimization.…”
Section: Spiral Orbit-raising Phasementioning
confidence: 99%
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“…The SOR trajectory design significantly impacts the spacecraft system design, including radiation tolerance, power budget during eclipses, lifetime, and IES ∆V budget. In the preliminary analyses, we apply a Multi-Objective Evolutionary Algorithm (MOEA) [6] to the entire SOR trajectory considering the radiation environment, eclipse duration, time of flight, and fuel consumption. The result showed that the trajectory could be divided into three sub-phases for an enhanced optimization.…”
Section: Spiral Orbit-raising Phasementioning
confidence: 99%
“…To tackle the com-plex trajectory design, we divide the entire mission into three phases: the Spiral Orbit-Raising (SOR) phase, the Moon Flyby (MFB) phase, and the Interplanetary Transfer (IPT) phase. The SOR trajectory design needs to optimize a low-thrust manyrevolutions trajectory considering the system constraints [6,7,8]. ESA's SMART-1 mission also relied on spiral orbit raising to insert the spacecraft into orbit around the Moon [9].…”
Section: Introductionmentioning
confidence: 99%
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“…In the third subphase, SOR-3, we initiate coasting arcs in order to reduce the fuel consumption and design low-thrust many-revolution trajectories by solving multi-objective optimization. To solve the SOR-3 problem, we employ an averaging method to propagate the low-thrust many-revolutions trajectory [36] and employ a Multi-Objective Evolutionary Algorithm (MOEA) [6].…”
Section: Spiral Orbit-raising Phasementioning
confidence: 99%
“…MOEAs have excellent features, such as the capability to obtain the Pareto optimal solutions. In the field of aerospace engineering, this approach has been employed to optimize the design of space trajectories [1][2][3], mission planning of satellite operators [4], and design of rocket engines [5][6][7][8], flame deflectors [9], and aerodynamic design [10][11][12][13][14][15][16][17][18][19]. Pareto optimal solutions or suitable design candidates were obtained.…”
Section: Introductionmentioning
confidence: 99%