Particle Swarm Optimization with Rotation Axis Fitting for Magnetometer Calibration

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@article{5d84fb9af37c4507a0a65762f7a4b2db,
title = "Particle Swarm Optimization with Rotation Axis Fitting for Magnetometer Calibration",
abstract = "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.",
keywords = "Magnetometer, Calibration, Nanosatellite, Rotation axis fitting, Multi-objective particle swarm optimization",
author = "Bagus Riwanto and Tuomas Tikka and Antti Kestil{\"a} and Jaan Praks",
year = "2017",
doi = "10.1109/TAES.2017.2667458",
language = "English",
volume = "53",
pages = "1009--1022",
journal = "IEEE Transactions on Aerospace and Electronic Systems",
issn = "0018-9251",
number = "2",

}

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TY - JOUR

T1 - Particle Swarm Optimization with Rotation Axis Fitting for Magnetometer Calibration

AU - Riwanto, Bagus

AU - Tikka, Tuomas

AU - Kestilä, Antti

AU - Praks, Jaan

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Magnetometer

KW - Calibration

KW - Nanosatellite

KW - Rotation axis fitting

KW - Multi-objective particle swarm optimization

U2 - 10.1109/TAES.2017.2667458

DO - 10.1109/TAES.2017.2667458

M3 - Article

VL - 53

SP - 1009

EP - 1022

JO - IEEE Transactions on Aerospace and Electronic Systems

JF - IEEE Transactions on Aerospace and Electronic Systems

SN - 0018-9251

IS - 2

ER -

ID: 10225379