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Particle Swarm Optimization With Rotation Axis Fitting for Magnetometer Calibration

机译:带旋转轴拟合的粒子群优化磁力仪校准

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摘要

This paper presents an improved multiobjective 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.
机译:本文提出了一种改进的多目标粒子群优化算法,用于航天器磁力计校准。提出的算法将标量检查与新颖的旋转轴拟合目标结合在一起,避免了对测量轴的完美对准。改进的方法旨在基于磁力计旋转轴方向的知识来求解12个校准参数。在Aalto-1纳米卫星上的仿真和实验数据证明了该新算法的性能。

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