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Trajectory Generation Using Genetic and Sequential Quadratic Programming Methods
Technical Paper
2001-01-3001
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
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.
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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.Also In
References
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