Abstract
Particle Swarm Optimization (PSO) is used to prune the search space of a low-thrust trajectory transfer from a high-altitude, Earth orbit to a Lagrange point orbit in the Earth-Moon system. Unlike a gradient based approach, this evolutionary PSO algorithm is capable of avoiding undesirable local minima. The PSO method is extended to a “local” version and uses a two dimensional search space that is capable of reducing the computation run-time by an order of magnitude when compared with published work. A technique for choosing appropriate PSO parameters is demonstrated and an example of an optimized trajectory is discussed.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 81-102 |
| Number of pages | 22 |
| Journal | Journal of the Astronautical Sciences |
| Volume | 63 |
| Issue number | 2 |
| DOIs | |
| State | Published - Jun 1 2016 |
All Science Journal Classification (ASJC) codes
- Aerospace Engineering
- Space and Planetary Science
Fingerprint
Dive into the research topics of 'Early Mission Design of Transfers to Halo Orbits via Particle Swarm Optimization'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver