Hypersonic Boost Glide Vehicle Trajectory Optimization Using Genetic Algorithm

Abstract

Trajectory optimization formulation for hypersonic boost glide class of vehicle to achieve maximum range under various in-flight and impact constraints is proposed. The formulation considers vehicle controllability using aerodynamic forces also as one of the path constraint by imposing a constraint on maximum altitude. Genetic algorithm is used to solve the dynamic optimization problem and a trajectory for maximum range has been generated with all the in-flight and terminal constraints. The results bring out the effectiveness of genetic algorithm in providing feasible solution to the proposed problem. Superiority of the approach over gradient based method in terms of range and simplicity in formulating complex in-flight constraints is also demonstrated.