Performance Evaluation of Multi-Agent Debris Monitoring Using Parametrized Relative Motion Guidance

On-orbit inspection is a critical task for on-orbit servicing (OOS) and space situational awareness (SSA), ensuring the health and safety of satellites and space assets. Employing multiple agents for such tasks enhances fault tolerance and coverage, thus enabling more efficient operations. However, implementing real-time on-orbit algorithms presents significant challenges due to the computational complexity of optimization-based methods. This paper presents a detailed performance analysis of a clustering-based decentralized algorithm designed to address these challenges by simplifying the inspection process and reducing computational demands. The algorithm is tested in more realistic dynamical scenarios, including a target orbit with non-zero eccentricity and the presence of perturbative forces which are neglected in the nominal model. A performance evaluation across these scenarios is conducted.