This paper presents an improved multi-objective particle swarm optimization algorithm for magnetometer calibration in spacecraft. The proposed algorithm combines scalar checking with novel rotation axis fitting objective and avoids the requirement for perfectly aligned measurement axis. The improved approach is designed to solve 12 calibration parameters based on the knowledge of the magnetometer rotation axis direction. The performance of the novel algorithm is demonstrated with simulations and experimental data on Aalto-1 nanosatellite.
|Number of pages||14|
|Journal||IEEE Transactions on Aerospace and Electronic Systems|
|Publication status||Published - 2017|
|MoE publication type||A1 Journal article-refereed|
- Rotation axis ﬁtting
- Multi-objective particle swarm optimization