
Copernical Team
Chang'e-5 samples reveal how young volcanism occurred on the Moon

Ascent satellite marks end of mission objectives

Designing the trajectory of a microsatellite swarm from the macro-micro perspective

US Space Command to Transfer Space Object Tracking to Department of Commerce

ISRO launches 36 OneWeb satellites

China completes test of vacuum liquid oxygen-methane rocket engine

NASA to increase Artemis fleet, orders 3 more crew capsules

India launches 36 internet satellites delayed by Ukraine war

Partial solar eclipse from Iceland to India on Tuesday

A partial solar eclipse will be visible across a swathe of the Northern Hemisphere on Tuesday, with amateur astronomers warned to take care watching the rare phenomenon.
The eclipse will start at 0858 GMT in Iceland and end off the coast of India at 1302 GMT, crossing Europe, North Africa and the Middle East on its way, according to the IMCCE institute of France's Paris Observatory.
Solar eclipses occur when the Moon passes between the Sun and Earth, casting its shadow down onto our planet.
A total solar eclipse happens when the Moon completely blocks the Sun's disk, momentarily plunging a portion of the Earth into complete darkness.
However Tuesday's eclipse is only partial, and the "Moon's shadow will not touch the surface of the Earth at any point," the Paris Observatory said in a statement.
Designing the trajectory of microsatellite swarms from the macro-micro perspective

As an emerging multi-satellite cooperative flight mode, the microsatellite swarm has become an important future research issue for distributed space systems. It offers low cost, rapid response, and collaborative decision-making. To address the coordination of swarms for autonomous agents, a probabilistic guidance approach has been investigated, which contained sub-swarms with different mission objectives.
Probabilistic swarm guidance enables autonomous microsatellites to generate their individual trajectories independently so that the entire swarm converges to the desired distribution shape. However, it is essential to avoid crowding for reducing the possibility of collisions between microsatellites, which adds challenges to the design of the collision avoidance algorithm.
In a research paper recently published in Space: Science & Technology, Bing Xiao, from School of Automation, Northwestern Polytechnical University, proposed a Centroidal Voronoi tessellation (CVT) and Model Predictive Control (MPC) based synthesis method, aiming to achieve macro-micro trajectory optimization of a microsatellite swarm.