Robust Flight Path Determination for Mars Precision Landing Using Genetic Algorithms

Details Robust Flight Path Determination for Mars Precision Landing Using Genetic Algorithms Robust Flight Path Determination for Mars Precision Landing Using Genetic Algorithms

Feb 1997

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1997taea....1..976b&link_type=abstract

NASA University Research Centers Technical Advances in Education, Aeronautics, Space, Autonomy, Earth and Environment, vol. 1, p

Statistics

Computation

Genetic Algorithms, Computation, Feedback Control, Flight Paths, Trajectories, Mars Landing, Atmospheric Models, Errors, Linearization, Perturbation, Position (Location), Workstations

Scientific paper

This paper documents the application of genetic algorithms (GAs) to the problem of robust flight path determination for Mars precision landing. The robust flight path problem is defined here as the determination of the flight path which delivers a low-lift open-loop controlled vehicle to its desired final landing location while minimizing the effect of perturbations due to uncertainty in the atmospheric model and entry conditions. The genetic algorithm was capable of finding solutions which reduced the landing error from 111 km RMS radial (open-loop optimal) to 43 km RMS radial (optimized with respect to perturbations) using 200 hours of computation on an Ultra-SPARC workstation. Further reduction in the landing error is possible by going to closed-loop control which can utilize the GA optimized paths as nominal trajectories for linearization.

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