Novel Approach for Maneuvering Reentry Vehicle Design

Lin, Tony; Sproul, Linda; McKeel, S. A.; Shivananda, T.; Kealos, Joseph; Fote, P.; Thyson, Noel A.; Reeves, Barry L.

doi:10.2514/2.6891

Cited by 6 publications

(1 citation statement)

References 3 publications

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“…In this paper, a form of GAs, known as floatingpoint or real-coded GA (RGA) [42][43][44], is used. The RGA used in this study is similar to that described in an orbit transfer problem [45], and is simulated with the Optimization Toolbox (with some modifications) in MATLAB 8. Stochastic uniform selection with elitism, scattered crossover with 0.8 probability, uniform mutation with 0.1 probability, population size 100, and 50 generation for termination were used.…”

Section: -3-optimal Solutionmentioning

confidence: 99%

On-Board Near Optimal Flight Trajectory Generation using Deferential Flatness

Esmaelzadeh¹

2014

IJCA

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An optimal explicit guidance law that maximizes terminal velocity is developed for a reentry vehicle to a fixed target. The equations of motion are reduced with differential flatness approach and acceleration commands are related to trajectory's parameters. An optimal trajectory is determined by solving a real-coded genetic algorithm. For online trajectory generation, optimal trajectory is approximated. The approximated trajectory is compared with the pure proportional navigation, and genetic algorithm's solutions. The near optimal terminal velocity solution compares very well with these solutions. The approach robustness is examined by Monte Carlo simulation. Other advantages such as trajectory representation with minimum parameters, applicability to any reentry vehicle configuration and any control scheme, and Time-to-Go independency make this guidance approach more favorable.

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Section: -3-optimal Solutionmentioning

confidence: 99%