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

Zeng, Zhankui; Zhang, Shijie; Xing, Yuxiang; Cao, Xi‐Ren

doi:10.1155/2014/159149

Cited by 9 publications

(4 citation statements)

References 24 publications

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“…1) Initialization Condition: As the improved algorithm needs to deal with two separate swarms defined in (7), a set of swarm has to be initialized separately for each objective. The swarm positions and velocities initial states are determined by pmax and vmax, respectively.…”

Section: Multiobjective Pso Architecturementioning

confidence: 99%

Particle Swarm Optimization for Magnetometer Calibration With Rotation Axis Fitting Using In-Orbit Data

Riwanto¹,

Niemelä²,

Ehrpais

et al. 2022

IEEE Trans. Aerosp. Electron. Syst.

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This article demonstrates the performance of an improved particle swarm optimization (PSO) algorithm with scalar checking and rotation axis fitting objectives using in-orbit data, which is obtained from two CubeSats missions, Aalto-1 and ESTCube-1, as well as simulation as reference. The improved algorithm uses sequential objectives refinement process to combine the two optimization objectives. This improvement addresses some challenges of magnetometer calibration when using in-orbit data. First, the change in the magnetic field vector direction at different points in orbit which is uncorrelated to the rotation of the spacecraft itself. Second, the uncertainty of the rotation axis information used as the reference, e.g., from gyroscope noise.

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Section: Multiobjective Pso Architecturementioning

confidence: 99%

Particle Swarm Optimization for Magnetometer Calibration With Rotation Axis Fitting Using In-Orbit Data

Riwanto¹,

Niemelä²,

Ehrpais

et al. 2022

IEEE Trans. Aerosp. Electron. Syst.

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show abstract

“…All of these adaptive control algorithms are model-based, and although they are able to deal accurately with uncertainties, they are incapable of dealing with different dynamic models. The problem of satellite attitude determination has been extensively studied, and has been the main concern of many studies in recent decades [27][28][29]. In a study by Kouyama et al [30], they proposed an automated and robust scheme to determine the satellite attitude, which of course follows an exact map projection.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Neuro-Fuzzy Model for Attitude Estimation and Control of a 3 DOF System

et al. 2022

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In recent decades, one of the scientists’ main concerns has been to improve the accuracy of satellite attitude, regardless of the expense. The obvious result is that a large number of control strategies have been used to address this problem. In this study, an adaptive neuro-fuzzy integrated system (ANFIS) for satellite attitude estimation and control was developed. The controller was trained with the data provided by an optimal controller. Furthermore, a pulse modulator was used to generate the right ON/OFF commands of the thruster actuator. To evaluate the performance of the proposed controller in closed-loop simulation, an ANFIS observer was also used to estimate the attitude and angular velocities of the satellite using magnetometer, sun sensor, and data gyro data. However, a new ANFIS system was proposed that can jointly control and estimate the system attitude. The performance of the proposed controller was compared to the optimal PID controller in a Monte Carlo simulation with different initial conditions, disturbance, and noise. The results show that the proposed controller can surpass the optimal PID controller in several aspects including time and smoothness. In addition, the ANFIS estimator was examined and the results demonstrate the high ability of this designated observer. Consequently, evaluating the performance of PID and the proposed controller revealed that the proposed controller consumed less control effort for satellite attitude estimation under noise and uncertainty.

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“…In recent years, various robust filtering algorithms have been proposed to process anomalous measurements so as to enhance the system's robustness. Zeng et al proposed a robust adaptive Kalman filter, which can reduce the impact of orbital errors on attitude estimation by using an adaptive factor and a scale factor [22]. Soken and Hajiyev proposed a robust EKF and UKF for estimate satellite attitude [23,24].…”

Section: Introductionmentioning

confidence: 99%

Adaptive quaternion particle filter using generalized likelihood ratio test for aircraft attitude estimation in the presence of anomalous measurement

Zhou¹,

Zhang²,

Liu³

et al. 2021

Meas. Sci. Technol.

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An adaptive quaternion particle filter (QPF) based on the generalized likelihood ratio test (GLRT) is proposed for aircraft attitude estimation in the presence of an anomalous measurement. The framework of the QPF is employed to guarantee quaternion normalization. To cope with an anomalous measurement when interference occurs, the proposed algorithm uses the GLRT to detect an anomalous measurement and determine the interference source. An adaptation scheme is used to tune the measurement noise covariance matrix after the interference source has been determined so that the algorithm can remain robust against interference. Numerical simulations are carried out to evaluate the performance of the proposed algorithm and compare it with the QPF algorithm. The results show that the proposed algorithm outperforms the standard one in attitude estimation accuracy under anomalous measurement conditions.

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

Cited by 9 publications

References 24 publications

Particle Swarm Optimization for Magnetometer Calibration With Rotation Axis Fitting Using In-Orbit Data

Particle Swarm Optimization for Magnetometer Calibration With Rotation Axis Fitting Using In-Orbit Data

An Adaptive Neuro-Fuzzy Model for Attitude Estimation and Control of a 3 DOF System

Adaptive quaternion particle filter using generalized likelihood ratio test for aircraft attitude estimation in the presence of anomalous measurement

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