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.
Trajectory Generation Using Genetic and Sequential Quadratic Programming Methods
Sae Technical Papers
World Aviation Congress & Exposition ; 2001
2001-09-10
Aufsatz (Konferenz)
Englisch
Path-Constrained Trajectory Optimization Using Sparse Sequential Quadratic Programming
Online Contents | 1993
|Trajectory generation for unmanned aerial manipulators through quadratic programming
BASE | 2017
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