Kalman Filtering for Small Satellite Attitude Estimation

2020 ◽  
pp. 139-162
Author(s):  
Chingiz Hajiyev ◽  
Halil Ersin Soken
Keyword(s):  
Kalman Filtering ◽  
Attitude Estimation ◽  
Small Satellite ◽  
Satellite Attitude

scholarly journals Robust Adaptive Filter for Small Satellite Attitude Estimation Based on Magnetometer and Gyro

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Zhankui Zeng ◽  
Shijie Zhang ◽  
Yanjun Xing ◽  
Xibin Cao
Keyword(s):  
Kalman Filter ◽  
Attitude Estimation ◽  
Optimal Filtering ◽  
System State ◽  
Small Satellite ◽  
Adaptive Kalman Filter ◽  
Satellite Attitude ◽  
Observational Noise ◽  
Robust Adaptive ◽  
The Impact

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.

Configuration Estimation of Gough-Stewart Platforms Using Extended Kalman Filtering

2000 ◽  
Author(s):  
Ernest D. Fasse ◽  
Albert J. Wavering
Keyword(s):  
Real Time ◽  
Kalman Filtering ◽  
Time Estimation ◽  
Stewart Platform ◽  
Attitude Estimation ◽  
Extended Kalman Filtering ◽  
Filtering Algorithms ◽  
Satellite Attitude ◽  
Deterministic Methods ◽  
Real Time Estimation

Abstract This paper develops extended Kalman filtering algorithms for a generic Gough-Stewart platform assuming realistically available sensors such as length sensors, rate gyroscopes, and accelerometers. The basic idea is to extend existing methods for satellite attitude estimation. The nondeterministic methods are meant to be a practical alternative to existing iterative, deterministic methods for real-time estimation of platform configuration.

scholarly journals Adaptive robust cubature Kalman filtering for satellite attitude estimation

2018 ◽  
Vol 31 (4) ◽  
pp. 806-819 ◽  
Author(s):  
Zhenbing QIU ◽  
Huaming QIAN ◽  
Guoqing WANG
Keyword(s):  
Kalman Filtering ◽  
Attitude Estimation ◽  
Satellite Attitude

Robust double gain unscented Kalman filter for small satellite attitude estimation

2017 ◽  
Vol 60 (3) ◽  
pp. 499-512 ◽  
Author(s):  
Lu Cao ◽  
Weiwei Yang ◽  
Hengnian Li ◽  
Zhidong Zhang ◽  
Jianjun Shi
Keyword(s):  
Kalman Filter ◽  
Unscented Kalman Filter ◽  
Attitude Estimation ◽  
Small Satellite ◽  
Satellite Attitude
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