Using PSO Algorithm for In-orbit Attitude Adjustment and Control of Communication Satellites

With the rapid development of satellite communication technology, a series of problems caused by attitude changes during satellite in-orbit operation have also received increasing attention. However, in situations where communication satellites have high orbits and fast motion speeds, there are problems such as low adjustment efficiency and poor accuracy in adjusting and controlling the satellite's attitude. This article uses Particle Swarm Optimization (PSO) algorithm to adjust the satellite attitude, treating the in-orbit attitude management of communication satellites as a multi-objective optimization problem. By setting the particle position as the group experience, this article uses the PSO algorithm to iteratively search for the optimal solution. The experimental results show that the PSO algorithm can achieve a maximum adjustment accuracy of 97.8%, effectively adjust the satellite attitude, improve adjustment efficiency, and enhance task completion and profitability.