QMRPF-UKF Master-Slave Filtering for the Attitude Determination of Micro-Nano Satellites Using Gyro and Magnetometer

In this paper, the problem of estimating the attitude of a micro-nano satellite, obtaining geomagnetic field measurements via a three-axis magnetometer and obtaining angle rate via gyro, is considered. For this application, a QMRPF-UKF master-slave filtering method is proposed, which uses the QMRPF...

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Main Authors: Huijuan Zhang, Peiling Cui
Format: Article
Language:English
Published: MDPI AG 2010-11-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/10/11/9935/
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author Huijuan Zhang
Peiling Cui
author_facet Huijuan Zhang
Peiling Cui
author_sort Huijuan Zhang
collection DOAJ
description In this paper, the problem of estimating the attitude of a micro-nano satellite, obtaining geomagnetic field measurements via a three-axis magnetometer and obtaining angle rate via gyro, is considered. For this application, a QMRPF-UKF master-slave filtering method is proposed, which uses the QMRPF and UKF algorithms to estimate the rotation quaternion and the gyro bias parameters, respectively. The computational complexicity related to the particle filtering technique is eliminated by introducing a multiresolution approach that permits a significant reduction in the number of particles. This renders QMRPF-UKF master-slave filter computationally efficient and enables its implementation with a remarkably small number of particles. Simulation results by using QMRPF-UKF are given, which demonstrate the validity of the QMRPF-UKF nonlinear filter.
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spelling doaj.art-be5d24739c5f4538bc5ca29e2a5c57132022-12-22T03:59:49ZengMDPI AGSensors1424-82202010-11-0110119935994710.3390/s101109935QMRPF-UKF Master-Slave Filtering for the Attitude Determination of Micro-Nano Satellites Using Gyro and MagnetometerHuijuan ZhangPeiling CuiIn this paper, the problem of estimating the attitude of a micro-nano satellite, obtaining geomagnetic field measurements via a three-axis magnetometer and obtaining angle rate via gyro, is considered. For this application, a QMRPF-UKF master-slave filtering method is proposed, which uses the QMRPF and UKF algorithms to estimate the rotation quaternion and the gyro bias parameters, respectively. The computational complexicity related to the particle filtering technique is eliminated by introducing a multiresolution approach that permits a significant reduction in the number of particles. This renders QMRPF-UKF master-slave filter computationally efficient and enables its implementation with a remarkably small number of particles. Simulation results by using QMRPF-UKF are given, which demonstrate the validity of the QMRPF-UKF nonlinear filter.http://www.mdpi.com/1424-8220/10/11/9935/attitude determinationgyromagnetometerQMRPF-UKFmaster-slave filtering
spellingShingle Huijuan Zhang
Peiling Cui
QMRPF-UKF Master-Slave Filtering for the Attitude Determination of Micro-Nano Satellites Using Gyro and Magnetometer
Sensors
attitude determination
gyro
magnetometer
QMRPF-UKF
master-slave filtering
title QMRPF-UKF Master-Slave Filtering for the Attitude Determination of Micro-Nano Satellites Using Gyro and Magnetometer
title_full QMRPF-UKF Master-Slave Filtering for the Attitude Determination of Micro-Nano Satellites Using Gyro and Magnetometer
title_fullStr QMRPF-UKF Master-Slave Filtering for the Attitude Determination of Micro-Nano Satellites Using Gyro and Magnetometer
title_full_unstemmed QMRPF-UKF Master-Slave Filtering for the Attitude Determination of Micro-Nano Satellites Using Gyro and Magnetometer
title_short QMRPF-UKF Master-Slave Filtering for the Attitude Determination of Micro-Nano Satellites Using Gyro and Magnetometer
title_sort qmrpf ukf master slave filtering for the attitude determination of micro nano satellites using gyro and magnetometer
topic attitude determination
gyro
magnetometer
QMRPF-UKF
master-slave filtering
url http://www.mdpi.com/1424-8220/10/11/9935/
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