An aeromagnetic compensation algorithm for aircraft based on fuzzy adaptive Kalman filter
An aeromagnetic compensation algorithm for aircraft based on fuzzy adaptive Kalman filter
In order to ensure the effectiveness of geomagnetic navigation, as the foundation, the precise measurement of geomagnetic field must be guaranteed; namely, aircraft aeromagnetic compensation is worthy of being further studied. In this paper, the classical aircraft aeromagnetic compensation algorithm based on Leliak Model is analyzed and an aircraft aeromagnetic compensation algorithm based on fuzzy adaptive Kalman filter is proposed, which is a new approach for aircraft to achieve aeromagnetic compensation. Simulation results show that it has better compensation performance without relying on the aircraft attitude.
Zhang, Yao
a4f30318-ab42-4b38-a60d-f7199ff3a02a
Zhao, Yu-Xin
4733ed03-6f1a-4739-ae79-4b18f23e99c3
Chang, Shuai
f731b81f-839f-42f1-9370-f30fad720653
2014
Zhang, Yao
a4f30318-ab42-4b38-a60d-f7199ff3a02a
Zhao, Yu-Xin
4733ed03-6f1a-4739-ae79-4b18f23e99c3
Chang, Shuai
f731b81f-839f-42f1-9370-f30fad720653
Zhang, Yao, Zhao, Yu-Xin and Chang, Shuai
(2014)
An aeromagnetic compensation algorithm for aircraft based on fuzzy adaptive Kalman filter.
Journal of Applied Mathematics, 2014, [405671].
(doi:10.1155/2014/405671).
Abstract
In order to ensure the effectiveness of geomagnetic navigation, as the foundation, the precise measurement of geomagnetic field must be guaranteed; namely, aircraft aeromagnetic compensation is worthy of being further studied. In this paper, the classical aircraft aeromagnetic compensation algorithm based on Leliak Model is analyzed and an aircraft aeromagnetic compensation algorithm based on fuzzy adaptive Kalman filter is proposed, which is a new approach for aircraft to achieve aeromagnetic compensation. Simulation results show that it has better compensation performance without relying on the aircraft attitude.
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Accepted/In Press date: 4 August 2014
e-pub ahead of print date: 17 August 2014
Published date: 2014
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Local EPrints ID: 479239
URI: http://eprints.soton.ac.uk/id/eprint/479239
PURE UUID: 2e862915-7329-45c4-8ca9-1b1220614254
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Date deposited: 20 Jul 2023 16:47
Last modified: 17 Mar 2024 04:14
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Author:
Yao Zhang
Author:
Yu-Xin Zhao
Author:
Shuai Chang
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