Automatic MGA trajectory planning with a modified ant colony optimization algorithm
Ceriotti, M. and Vasile, M. (2009) Automatic MGA trajectory planning with a modified ant colony optimization algorithm. In: 21st International Space Flight Dynamics Symposium, ISSFD 2009, 2009-09-28 - 2009-10-02.
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Abstract
This paper assesses the problem of designing multiple gravity assist (MGA) trajectories, including the sequence of planetary encounters. The problem is treated as planning and scheduling of events, such that the original mixed combinatorial-continuous problem is discretised and converted into a purely discrete problem with a finite number of states. We propose the use of a two-dimensional trajectory model in which pairs of celestial bodies are connected by transfer arcs containing one deep-space manoeuvre. A modified Ant Colony Optimisation (ACO) algorithm is then used to look for the optimal solutions. This approach was applied to the design of optimal transfers to Saturn and to Mercury, and a comparison against standard genetic algorithm based optimisers shows its effectiveness.
ORCID iDs
Ceriotti, M. and Vasile, M. ORCID: https://orcid.org/0000-0001-8302-6465;-
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Item type: Conference or Workshop Item(Paper) ID code: 20162 Dates: DateEvent28 September 2009PublishedSubjects: Technology > Mechanical engineering and machinery
Technology > Motor vehicles. Aeronautics. AstronauticsDepartment: Faculty of Engineering > Mechanical and Aerospace Engineering Depositing user: Ms Katrina May Date deposited: 01 Jun 2010 15:01 Last modified: 03 Oct 2024 00:45 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/20162