EQUILIBRIUM SHAPING: DISTRIBUTED MOTION PLANNING FOR SATELLITE SWARM

Abstract

A satellite path planning algorithm inspired by collective robotics is presented. The algorithm exploits a behaviour-based approach to achieve a highly distributed control over the relative geometry of a satellite swarm. The de-sired velocity is dened for each satellite as a sum of dif-ferent contributions coming from high level behaviours. Several control feedbacks able to track the desired ve-locities are then introduced and discussed. The resulting architecture is able to solve autonomously the target se-lection problem.