Optimization of Active Rendezvous Trajectories by Genetic Algorithms

<p>Trajectory optimization is and will remain a hot topic in the engineering field. Because analytical or exact solutions are often difficult and sometimes impossible to compute, there is a need for alternative and efficient methods. UnderWater Vehicles (UWV) trajectories and rendezvous trajectories of continuous low-thrust spacecraft are examined. One of the methods to solve such problems is the Genetic Algorithm (GA) method. In this work, a GA has been developed using Matlab®. It treats possible solutions to the studied problems as individuals and eventually converges to an optimal or near optimal solution. Genetic Algorithms have been used previously to solve chaser-target type of rendezvous trajectories. Here, active rendezvous trajectories have been successfully solved using Genetic Algorithms.</p>

Name thesis:degree_name

Master of Science in Aerospace Engineering

Level thesis:degree_level

Thesis - Open Access

Discipline thesis:degree_discipline

Aerospace Engineering

Year

2006

Author dc:creator

• Ricour, Marie Emmanuelle

Contributors dc:contributor

• Yechiel J. Crispin
• Ossama Abdelkhalik
• Eric Perrell

• optimization
• rendezvous
• trajectories
• genetic algorithms
• Aerospace Engineering
• Astrodynamics
• Navigation, Guidance, Control and Dynamics

Repository record dc:identifier

https://commons.erau.edu/db-theses/235

OAI identifier oai:identifier

oai:commons.erau.edu:db-theses-1249