Date of Award
Fall 2006
Document Type
Thesis - Open Access
Degree Name
Master of Science in Aerospace Engineering
Department
Aerospace Engineering
Committee Chair
Yechiel J. Crispin
Committee Member
Ossama Abdelkhalik
Committee Member
Eric Perrell
Abstract
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.
Scholarly Commons Citation
Ricour, Marie Emmanuelle, "Optimization of Active Rendezvous Trajectories by Genetic Algorithms" (2006). Master's Theses - Daytona Beach. 235.
https://commons.erau.edu/db-theses/235
