Constrained reentry trajectory optimization based on improved particle swarm optimization algorithm

Abstract

This paper proposes an improved particle swarm optimization (PSO) using "step-phase" adjustment strategy for inertia weight to generate the minimum time reentry trajectory for hypersonic reentry vehicles based on the parameterized bank angle profile. According to engineering experience, the velocity-dependent bank angle profile is developed using the "two-flip strategy", thereby reducing the dimensionality of particles. The reentry constraints are processed by penalty function. Especially, the no-fly zone (NFZ) constraint is enforced by extreme method that setting penalty weight to be an extremely large positive number on the condition that the trajectory passes through the NFZ . Simulation results illustrate that the improved PSO algorithm based on the parameterized bank angle profile proves to be capable to generate a complete and optimal three degrees of freedom (3-DOF) reentry trajectory rapidly.