An r-dominance-based bare-bones multi-objective particle swarm optimization for attitude maneuver of flexible spacecraft filled with liquid

Abstract

This paper studies multi-objective optimization in flexible spacecraft filled with liquid. Aiming at reducing liquid sloshing and flexible vibration excited by attitude maneuver, we have adopted a seven-stage sinusoidal profile to plan the attitude maneuver path and establised the multi-objective optimization model of spacecraft attitude maneuver. Specifically, a novel bare-bones multi-objective particle swarm optimization based on r-dominance relation (r-BBMOPSO) is proposed and applied to optimize the combined parameters of maneuver path and controller. Moreover, this algorithm employs r-domination instead of Pareto domination which is especially suitable for solving the complexity of multi-objective optimization problems in practice. The modification of particles’ updating strategy can better balance the exploration and exploitation ability of this algorithm. The simulation results demonstrate the feasibility and effectiveness of the proposed algorithm.