Trajectory Generation Using Genetic and Sequential Quadratic Programming Methods 2001-01-3001
A comparison is made between constrained, two-dimensional, reentry reference trajectories generated by genetic and sequential quadratic programming methods. The objective is to generate a reentry trajectory with minimum control while satisfying constraints on dynamic pressure, heating, lifting, final velocity and altitude. It is shown that the genetic programming method discovered much smoother trajectories that easily satisfy all constraints.
Citation: Samsundar, J. and Gillette, J., "Trajectory Generation Using Genetic and Sequential Quadratic Programming Methods," SAE Technical Paper 2001-01-3001, 2001, https://doi.org/10.4271/2001-01-3001. Download Citation
Author(s):
John Samsundar, Jason C. Gillette
Pages: 9
Event:
World Aviation Congress & Exposition
World Aviation Congress & Exposition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
SAE 2001 Transactions Journal of Aerospace-V110-1
