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Trajectory Generation Using Genetic and Sequential Quadratic Programming Methods
- Format:
- Conference/Event
- Author/Creator:
- Samsundar, John, author.
- Conference Name:
- World Aviation Congress & Exposition (2000-10-10 : San Diego, California, United States)
- World Aviation Congress & Exposition (2001-09-11 : Seattle, Washington, United States)
- Language:
- English
- Physical Description:
- 1 online resource
- Place of Publication:
- Warrendale, PA SAE International 2001
- Summary:
- 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
- Notes:
- Vendor supplied data
- Publisher Number:
- 2001-01-3001
- Access Restriction:
- Restricted for use by site license
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