Robust Adaptive Filter for Small Satellite Attitude Estimation Based on Magnetometer and Gyro
Joint Authors
Zhang, Shijie
Zeng, Zhankui
Xing, Yanjun
Cao, Xibin
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-26
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Based on magnetometer and gyro measurement, a sequential scheme is proposed to determine the orbit and attitude of small satellite simultaneously.
In order to reduce the impact of orbital errors on attitude estimation, a robust adaptive Kalman filter is developed.
It uses a scale factor and an adaptive factor, which are constructed by Huber function and innovation sequence, respectively, to adjust the covariance matrix of system state and observational noise, change the weights of predicted and measured parameters, get suitable Kalman filter gain and approximate optimal filtering results.
Numerical simulations are carried out and the proposed filter is approved to be robust for the noise disturbance and parameter uncertainty and can provide higher accuracy attitude estimation.
American Psychological Association (APA)
Zeng, Zhankui& Zhang, Shijie& Xing, Yanjun& Cao, Xibin. 2014. Robust Adaptive Filter for Small Satellite Attitude Estimation Based on Magnetometer and Gyro. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1033562
Modern Language Association (MLA)
Zeng, Zhankui…[et al.]. Robust Adaptive Filter for Small Satellite Attitude Estimation Based on Magnetometer and Gyro. Abstract and Applied Analysis No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1033562
American Medical Association (AMA)
Zeng, Zhankui& Zhang, Shijie& Xing, Yanjun& Cao, Xibin. Robust Adaptive Filter for Small Satellite Attitude Estimation Based on Magnetometer and Gyro. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1033562
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033562