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Global Optimization of Low-Thrust Interplanetary Trajectories Subject to Operational ConstraintsLow-thrust interplanetary space missions are highly complex and there can be many locally optimal solutions. While several techniques exist to search for globally optimal solutions to low-thrust trajectory design problems, they are typically limited to unconstrained trajectories. The operational design community in turn has largely avoided using such techniques and has primarily focused on accurate constrained local optimization combined with grid searches and intuitive design processes at the expense of efficient exploration of the global design space. This work is an attempt to bridge the gap between the global optimization and operational design communities by presenting a mathematical framework for global optimization of low-thrust trajectories subject to complex constraints including the targeting of planetary landing sites, a solar range constraint to simplify the thermal design of the spacecraft, and a real-world multi-thruster electric propulsion system that must switch thrusters on and off as available power changes over the course of a mission.
Document ID
20160001642
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Englander, Jacob A.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Vavrina, Matthew A.
(AI Solutions, Inc. Lanham, MD, United States)
Hinckley, David
(Vermont Univ. Burlington, VT, United States)
Date Acquired
February 5, 2016
Publication Date
February 14, 2016
Subject Category
Astrodynamics
Report/Patent Number
GSFC-E-DAA-TN29037
AAS 16-239
Report Number: GSFC-E-DAA-TN29037
Report Number: AAS 16-239
Meeting Information
Meeting: AAS&AIAA Space Flight Mechanics Meeting
Location: Napa Valley, CA
Country: United States
Start Date: February 14, 2016
End Date: February 18, 2016
Sponsors: American Inst. of Biological Sciences, American Astronautical Society
Funding Number(s)
CONTRACT_GRANT: NNG14VC09C
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Design
Trajectory
Optimization
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