30 research outputs found
Cometary dust analogues for physics experiments
The CoPhyLab (Cometary Physics Laboratory) project is designed to study the
physics of comets through a series of earth-based experiments. For these
experiments, a dust analogue was created with physical properties comparable to
those of the non-volatile dust found on comets. This "CoPhyLab dust" is planned
to be mixed with water and CO ice and placed under cometary conditions in
vacuum chambers to study the physical processes taking place on the nuclei of
comets. In order to develop this dust analogue, we mixed two components
representative for the non-volatile materials present in cometary nuclei. We
chose silica dust as representative for the mineral phase and charcoal for the
organic phase, which also acts as a darkening agent. In this paper, we provide
an overview of known cometary analogues before presenting measurements of eight
physical properties of different mixtures of the two materials and a comparison
of these measurements with known cometary values. The physical properties of
interest are: particle size, density, gas permeability, spectrophotometry,
mechanical, thermal and electrical properties. We found that the analogue dust
that matches the highest number of physical properties of cometary materials
consists of a mixture of either 60\%/40\% or 70\%/30\% of silica dust/charcoal
by mass. These best-fit dust analogue will be used in future CoPhyLab
experiments
Relative motion of satellites exploiting the super-integrability of Kepler’s problem
Spacecraft Proximity Navigation and Autonomous Assembly based on Augmented State Estimation: Analysis and Experiments
This paper presents a spacecraft relative navigation scheme based on a tracking technique. The augmented state estimation technique is a variable-dimension filtering approach, originally introduced by Bar-Shalom and Birmiwal[1]. In this technique, the state model for a target spacecraft is augmented by introducing, as extra state components, the target's control inputs. The maneuver, modeled as accelerations, is estimated recursively along with the other states associated with position and velocity, while a target maneuvers. By using the proposed navigation method, a chaser spacecraft can estimate the relative position, the attitude and the control inputs of a target spacecraft, flying in its proximity. It is assumed that the chaser spacecraft is equipped with on-board sensors able to measure the relative position and relative attitude of the target spacecraft. The available sensors would provide a measurement update sample time of the order of one second and be subject to random measurement interruption longer than one second. As preliminary analysis, this work introduces the technique applied to the planar, three-degree-of- freedom, spacecraft relative motion. The proposed approach is validated via hardware-in-the-loop experimentation, using four autonomous three-degree-of- freedom robotic spacecraft simulators, floating on a flat floor. The proposed navigation method is proved to be more robust than a standard Kalman Filter estimating relative position and attitude only