An Aeromagnetic Compensation Algorithm for Aircraft Based on Fuzzy Adaptive Kalman Filter | Zendy

Yao Zhang | Zendy; Yuxin Zhao | Zendy; Shuai Chang | Zendy

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An Aeromagnetic Compensation Algorithm for Aircraft Based on Fuzzy Adaptive Kalman Filter

Author(s) -

Yao Zhang,

Yuxin Zhao,

Shuai Chang

Publication year - 2014

Publication title -

journal of applied mathematics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.307

H-Index - 43

eISSN - 1687-0042

pISSN - 1110-757X

DOI - 10.1155/2014/405671

Subject(s) - compensation (psychology) , kalman filter , aeromagnetic survey , computer science , control theory (sociology) , earth's magnetic field , fuzzy logic , extended kalman filter , algorithm , artificial intelligence , magnetic field , physics , psychology , control (management) , quantum mechanics , psychoanalysis

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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