23rd Congress of International Council of the Aeronautical Sciences, 8-13 September, 2002, Toronto, Canada
Paper ICAS 2002-5.1.3

TRAJECTORY OPTIMIZATION OF SPACE PLANE USING GENETIC ALGORITHM COMBINED WITH GRADIENT METHOD

N. Yokoyama
University of Tokyo, Japan

Keywords: genetic algorithm, sequential quadratic programming, singular perturbation, guidance and control optimization, space plane

This study aims to obtain the optimal trajectory of a space plane with the rigid body assumption using effective optimization methods. The guidance law and the feedback gains are optimized simultaneously. Furthermore, Genetic Algorithm is applied in order to obtain an appropriate initial guess of the optimal solution, and subsequently Sequential Quadratic Programming is utilized to refine the solution. The effectiveness of the proposed methods is demonstrated.

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