The challenge of satellite stabilization, particularly those with uncertain flexible dynamics, has become a pressing concern in control and robotics. These uncertainties, especially the dynamics of a third-party client satellite, significantly complicate the stabilization task. This paper introduces a novel adaptive detumbling method to handle non-rigid satellites with unknown motion dynamics (translation and rotation). The distinctive feature of our approach is that we model the non-rigid tumbling satellite as a two-link serial chain with unknown stiffness and damping in contrast to previous detumbling research works which consider the satellite a rigid body. We develop a novel adaptive robotics approach to detumble the satellite by using two space tugs as servicer despite the uncertain dynamics in the post-capture case. Notably, the stiffness properties and other physical parameters, including the mass and inertia of the two links, remain unknown to the servicer. Our proposed method addresses the challenges in detumbling tasks and paves the way for advanced manipulation of non-rigid satellites with uncertain dynamics.

A satellite is about to demonstrate a new way of capturing space junk with magnets for the first time. With the frequency of space launches dramatically increasing in recent years, the potential for a disastrous collision above Earth is continually growing. Now, Japanese orbital clean-up company Astroscale is testing a potential solution. The firm's End-of-Life Services by Astroscale demonstration mission is scheduled to lift off on 20 March aboard a Russian Soyuz rocket. It consists of two spacecraft: a small "client" satellite and a larger "servicer" satellite, or "chaser".

As Dr. Darren S. McKnight of Integrity Applications explained during a recent presentation at the 32nd Space Symposium held in Colorado Springs, Colo., this week, every satellite collision could potentially produce hundreds to thousands of debris fragments. And each of those fragments in turn becomes a potential satellite-killing missile. Even tiny bits of debris just a centimeter in diameter, known as the lethal non-trackable (LNT) population, can blast holes clean through satellite components, rendering the spacecraft non-operational. In fact, these LNT debris are in many ways more dangerous than larger pieces, due to the sheer number of them. McKnight calculates that there are anywhere from 15 to 30 times as many LNT debris currently in orbit than the entire cataloged population of pieces bigger than 10cm.

In this paper are described the image processing algorithms developed by SENER, Ingenieria y Sistemas to cope with the problem of image-based, autonomous rendez-vous (RV) with an orbiting satellite. The methods developed have a direct application in the OLEV (Orbital Life Extension Extension Vehicle) mission. OLEV is a commercial mission under development by a consortium formed by Swedish Space Corporation, Kayser-Threde and SENER, aimed to extend the operational life of geostationary telecommunication satellites by supplying them control, navigation and guidance services. OLEV is planned to use a set of cameras to determine the angular position and distance to the client satellite during the complete phases of rendez-vous and docking, thus enabling the operation with satellites not equipped with any specific navigational aid to provide support during the approach. The ability to operate with un-equipped client satellites significantly expands the range of applicability of the system under development, compared to other competing video technologies already tested in previous spatial missions, such as the ones described here below.