Ellipsoid Fitting Calibration Method Based on Genetic Algorithm

DOI

10.2991/ifmeita-17.2018.90How to use a DOI?

Keywords

magnetic compass calibration, ellipsoid fitting, ellipse constraint, genetic algorithm, eigenvector.

Abstract

To calibrate three-axis magnetic compass in complex conditions, an ellipsoid fitting algorithm is proposed in this paper, which is based on genetic algorithm searching for intersecting plane. First, by intersecting ellipsoid surface with a plane equation covering the whole space, the corresponding elliptic equation could be obtained. Then, using minimum sum of squares of the distance between data points and the fitting ellipsoid as the index, the three-dimensional magnetic compass data are fitted with the ellipse constraint. The adoption to the genetic algorithm is followed to search for the optimal intersecting plane equation, thus obtaining the optimal correction parameters of magnetic compass. Based on a series of tests, the static azimuth accuracy and dynamic azimuth accuracy can reach 0.46 degree and 0.68 degree respectively. This proposed method has high calibration accuracy and can meet the application requirements of magnetic compass.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Genpu Chen
AU  - Xusheng Lei
AU  - Yue Geng
PY  - 2018/02
DA  - 2018/02
TI  - Ellipsoid Fitting Calibration Method Based on Genetic Algorithm
BT  - Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)
PB  - Atlantis Press
SP  - 515
EP  - 524
SN  - 2352-5398
UR  - https://doi.org/10.2991/ifmeita-17.2018.90
DO  - 10.2991/ifmeita-17.2018.90
ID  - Chen2018/02
ER  -