Optimization of active rendezvous trajectories by genetic algorithms
Marie Emmanuelle Ricour · Scholarly Commons (Embry–Riddle Aeronautical University) · 2006
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.