Evolutionary computing for low-thrust navigation

Seungwon Lee, Wolfgang Fink, Ryan P. Russell, Paul Von Allmen, Anastassios E. Petropoulos, Richard J. Terrile

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

The development of new mission concepts requires efficient methodologies to analyze, design, and simulate the concepts before implementation. New mission concepts are increasingly considering the use of ion thrusters for fuel-efficient navigation in deep space. This paper presents parallel, evolutionary computing methods to design trajectories of spacecraft propelled by ion thrusters and assesses the trade-off between delivered payload mass and required flight time. The developed methods utilize a distributed computing environment in order to speed up computation, and use evolutionary algorithms to find globally Paretooptimal solutions. The methods are coupled with two main traditional trajectory design approaches, which are called direct and indirect. In the direct approach, thrust control is discretized in either arc time or arc length, and the resulting discrete thrust vectors are optimized. In the indirect approach, the thrust control problem is transformed into a co-state control problem and the initial values of the co-state vector are optimized. The developed methods are applied to two problems: 1) an orbit transfer around the Earth and 2) a transfer between two distance retrograde orbits around Europa, the icy Galilean moon closest to Jupiter. The optimal solutions found with the present methods are comparable to other state-of-the-art trajectory optimizers, while the required computation time is often several orders of magnitude less thanks to an intelligent design of control vector discretization, advanced algorithmic parameterization, and parallel computing.

Original languageEnglish (US)
Title of host publicationCollection of Technical Papers - AIAA Space 2005 Conference and Exposition
Pages1775-1782
Number of pages8
StatePublished - Dec 1 2005
Externally publishedYes
EventAIAA Space 2005 Conference and Exposition - Long Beach, CA, United States
Duration: Aug 30 2005Sep 1 2005

Publication series

NameCollection of Technical Papers - AIAA Space 2005 Conference and Exposition
Volume3

Other

OtherAIAA Space 2005 Conference and Exposition
CountryUnited States
CityLong Beach, CA
Period8/30/059/1/05

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Evolutionary computing for low-thrust navigation'. Together they form a unique fingerprint.

  • Cite this

    Lee, S., Fink, W., Russell, R. P., Von Allmen, P., Petropoulos, A. E., & Terrile, R. J. (2005). Evolutionary computing for low-thrust navigation. In Collection of Technical Papers - AIAA Space 2005 Conference and Exposition (pp. 1775-1782). (Collection of Technical Papers - AIAA Space 2005 Conference and Exposition; Vol. 3).