Optimized curvilinear potential field based multi-objective satellite collision avoidance maneuver

Abstract

Recently, as the incredible growth of space objects, the most important issue for nearly all centers of space mission control (MCC) try to avoid is the problem of collision avoidance and allow a free path for the spacecraft during the whole lifetime, as the problem can be broken into two main parts the first is supply by data and some organizations play this role as the SPACE DATA ASSOCIATION CONJUNCTION ANALYSIS OPERATIONS in USA and SMARTnet in Germany, the second part is our Circle of Concern to use such information for automated task of collision avoidance maneuver planning and execution. This paper develops a new technique used usually during docking operations known as artificial potential field (APF) but as the key factors before performing any maneuver in space are the fuel budget, time and the safety of the new trajectory, so a new genetic-APF is used. In this paper, a new potential field technique is used with genetic algorithm for optimizing the coefficients in the algorithm, Moreover the criteria for judging the collision is based upon the curvilinear distance between the satellites not the Euclidean distance for calculating the Time to collision (TTC), a real case study output with calculation of orbit dynamics of spacecraft using ARE_orbit_propagator, a high precision orbit propagation developed using c#, output the velocity (?v) required for each case that will be supplied to the propulsion control module is used between the Chinese �cz_4� and the United States �DMSP 5D-2 F7� satellites to clarify the difference between the traditional potential field and the new genetic-based artificial potential field with also comparing the results with the well-known Hohmann maneuver for changing the altitude. � 2019, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.