Coordinated target localization base on pseudo measurement for clustered space robot

Abstract

This paper presents a coordinated target localization method for clustered space robot. According to the different measuring capabilities of cluster members, the master–slave coordinated relative navigation strategy for target localization with respect to slavery space robots is proposed; then the basic mathematical models, including coordinated relative measurement model and cluster centralized dynamics, are established respectively. By employing the linear Kalman filter theorem, the centralized estimator based on truth measurements is developed and analyzed firstly, and with an intention to inhabit the initial uncertainties related to target localization, the globally stabilized estimator is designed through introduction of pseudo measurements. Furthermore, the observability and controllability of stochastic system are also analyzed to qualitatively evaluate the convergence performance of pseudo measurement estimator. Finally, on-orbit target approaching scenario is simulated by using semi-physical simulation system, which is used to verify the convergence performance of proposed estimator. During the simulation, both the known and unknown maneuvering acceleration cases are considered to demonstrate the robustness of coordinated localization strategy.