Gyroscope fault accommodation based on dedicated Kalman filters

Li, Liliang; Liu, Chuan; Zhang, Yanzhao; Wang, Zhenhua; Shen, Yi

doi:10.1177/0954410019861188

Cited by 10 publications

(5 citation statements)

References 38 publications

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“…Current research on diagnosis, detection and estimation focused on stochastic filters, such as Farag 29 and Li et al 30 proposed a KF overview to explain an efficient technique for estimating model-based system states that can be used to estimate a linear or nonlinear system state. In practical terms, the vast majority of real industrial problems are mathematically nonlinear models.…”

Section: Ekf For State Estimationmentioning

confidence: 99%

Using extended Kalman filter for failure detection and prognostic of degradation process in feedback control system

Moulahi

Hmida

2021

Proceedings of the Institution of Mechanical Engineers, Part I:

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In this article, we study a new approach to predict failures in feedback control system and particularly in actuators. However, we use two-tank control system with a proportional–integral–derivative controller for controlling a process variable. In practice, the actuator is a dynamic operating component in a random environment. Moreover, its capacity decreases over time and becomes valuable information for reliability analysis. The loss of capacity which is related to degradation, either normally or in an accelerated manner, depends on different operational conditions of the feedback control system and environmental factors. For this reason, to improve its working condition, a service life time analysis is necessary. Obviously, one has to predict the trend of future system characteristics, such as the reliability, which is measured by the estimate value of remaining useful life. In this situation, we use the stochastic gamma process model to describe the degradation behavior of the actuator. Generally, the algorithm of extended Kalman filter is a widely used method to overcome the difficulties of estimating the state vector in a nonlinear model of two-tank control system. This algorithm gives an innovation vector or prediction residual which contains fault information, when the system is failed. The prediction residuals can be recursively computed for diagnosis by the generalized likelihood ratio test. However, we use the generalized likelihood ratio test algorithm to estimate the moment at which the prognostic started. Finally, a practical case study is given to show the effectiveness of the proposed approaches for failure detection. Obviously, the simulation results show that the degradation path of the actuator capacity is estimated and the reliability based on remaining useful life predicted is analyzed.

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Section: Ekf For State Estimationmentioning

confidence: 99%

Using extended Kalman filter for failure detection and prognostic of degradation process in feedback control system

Moulahi

Hmida

2021

Proceedings of the Institution of Mechanical Engineers, Part I:

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“…However, this method will result in a mismatch between the exit pupil of the star simulation system and the input pupil of the star sensor, reducing the adaptability of the calibration device. Therefore, the above methods are difficult to apply to meet the calibration accuracy requirements of current spacecraft ground simulation test devices [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Research on subpixel partition correction method for simulating star position in star simulation system

Wu,

Wang,

Jia

et al. 2023

J. Inst.

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The accuracy of star position simulation in star simulation systems is a key factor affecting the accuracy of ground calibration experiments for star sensors. In order to solve the problem that the current simulation star position accuracy is restricted by the size of its constituent elements, In this paper, the mathematical model for simulating the star position correction and the gray distribution of the constituent elements is derived, and the functional representation of the azimuth and longitude correction, elevation and latitude correction of the simulated star position is established. Exploring the distribution law of star position simulation error and establishing a corrected sub interval based on it, achieving sub pixel level star position simulation accuracy. The experimental results show that after using the method proposed in this article, the accuracy of star position simulation has been improved by 1.74 times.

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“…These methods exploit the physical knowledge of satellite dynamics to elaborate a mathematical model that represents the evolution of the system's state (dynamics and kinematics). Model-based approaches use several off-theshelf techniques such as Kalman filters (Mehra, Rago & Seereeram, 1998;Gao, Zhang, Zhang, He & Lu, 2019;Beyon, Mok, Woo & Bang, 2019;Li, Liu, Zhang, Wang & Shen, 2019;Lopez-Encarnacion, Fonod & Bergner, 2019), sliding mode observer (Alwi, Edwards & Marcos, 2010;Gao, Zhang & He, 2018;Gao, Zhou, Qian & Lin, 2018;Nagesh & Edwards 2011), and H∞, H2 schemes (Nemati, Safavi Hamami & Zemouche, 2019;Henry, 2008). These methods suffer from two main drawbacks: i) the non-availability/nonreliability of the physical model, and ii) the built model fails to efficiently represent the fault modes, nonlinearities, and non-stationary character of the space environment (Henna et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Unsupervised Data-Driven Approach for Fault Diagnostic of Spacecraft Gyroscope

Henna

Toubakh²,

KAFI³

et al. 2022

PHM_CONF

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In spacecraft attitude control, maintaining an accurate estimate of attitude readings is crucial. Due to aging factors of sensors like gyroscopes, emerged drift or bias from the correct rate values lead to decreased pointing accuracy. This paper proposes unsupervised data-driven approach in order to diagnose in early stage abnormal drifts in spacecraft attitude sensors. Three types of faults are injected in the satellite attitude control simulator. The obtained results are compared with other similar data-driven methods. The comparison shows the superiority of our method in terms of missed alarm rate and incorrect detection rate. In addition, our approach does not require prior knowledge and labels about the attitude sensors faults.

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Gyroscope fault accommodation based on dedicated Kalman filters

Cited by 10 publications

References 38 publications

Using extended Kalman filter for failure detection and prognostic of degradation process in feedback control system

Using extended Kalman filter for failure detection and prognostic of degradation process in feedback control system

Research on subpixel partition correction method for simulating star position in star simulation system

Unsupervised Data-Driven Approach for Fault Diagnostic of Spacecraft Gyroscope

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