Real-time sensor fault detection and isolation for LEO satellite attitude estimation through magnetometer data

Adnane, Akram; Ahmed‐Foitih, Zoubir; Mohammed, Mohammed Arezki Si; Bellar, A.

doi:10.1016/j.asr.2017.12.007

Cited by 19 publications

(5 citation statements)

References 34 publications

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“…Reference [18] proposed a coarse-to-fine attitude estimation algorithm, which is mainly used to find the matching with the given reference attitude in the image. Reference [19] proposed a novel feature extraction method, and the auxiliary system improved the recognition accuracy. Benziane et al used a binary tree as a recognition model, which has a good performance in simple gesture recognition [20].…”

Section: Related Workmentioning

confidence: 99%

Pedestrian Attitude Estimation and Recognition Algorithm Based on RF Data

Zhang

Sun

et al. 2022

Wireless Communications and Mobile Computing

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Pedestrian detection plays a vital role in the estimation of human posture, especially the pedestrian detector, which provides the position information of human body in the image. This paper proposes a pedestrian gesture recognition algorithm using radio frequency data based on RFID technology. Its goal is to serve as a starting point for research in the field of human gesture recognition. The position of pedestrians in the input picture can be adaptively adjusted by learning the transformation parameters of samples during network training, and the local features of each block can be trained by multiple cross entropy functions at the network’s end, allowing the sample local area to be fully utilized as the network’s training. More accurate DFL and attitude feature recognition can be achieved using the measured received signal strength information and channel state information. The pedestrian gesture recognition algorithm based on RF data proposed in this paper improves pedestrian recognition accuracy, especially in noisy environments, such as fuzzy or occlusion, according to experimental results.

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Section: Related Workmentioning

confidence: 99%

Pedestrian Attitude Estimation and Recognition Algorithm Based on RF Data

Zhang

Sun

et al. 2022

Wireless Communications and Mobile Computing

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“…In Ref. 17, a fault-tolerant extended Kalman filter proposed to detect and isolate magnetometer fault and the performance compared to the conventional filters such as robust EKF or UKF. A model-based multi hypothesis filter (MHF) method to detect and identify fault of satellite actuators proposed in Ref.…”

Section: Introductionmentioning

confidence: 99%

Sensor fault-tolerant attitude determination system based on the nonlinear interacting-multiple-model approach

Akbarinia

Ousaloo

2022

Proceedings of the Institution of Mechanical Engineers, Part G:

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This paper presents a methodology for satellite sensors' fault detection and diagnosis (FDD) in a fault-tolerant attitude determination system using a nonlinear interacting-multiple-model approach (IMM). Moreover, the fault-tolerant attitude determination system utilizes the IMM approach in the presence of sensors' total fault to estimate faulty sensors and attitude states. This methodology relies on the most conventional satellite attitude sensors including magnetometer, sun sensor, and gyroscope measurements. The presented scheme leads to a significant computational time-saving method due to considering a pre-filter Kalman for fault detection, hence, the proposed FDD approach consists of two stages. In the first stage, the pre-filter Kalman detects any sensor fault and attitude states. In contrast, in the next stage, fault diagnosis and optimal attitude estimation are obtained through the IMM approach. Therefore, the IMM algorithm will be activated to extract the optimal estimation and identify faulty sensor(s). A Monte Carlo type approach is used to verify this technique for various initial conditions. Through numerical and Monte Carlo simulations, it is shown that the proposed scheme is robust against sensors' total fault, and the system is capable of detecting and isolating accurately the faulty sensor. Hardware in the loop tests using satellite dynamics simulator are also used to validate the presented system performance.

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“…A passive FTC approach is developed in the work of Cheng et al for a satellite attitude system utilizing robust observer technique. In the work of Adnane et al, a fault tolerant extended Kalman filter is designed to handle the attitude estimated imprecision in sensor faulty case. The developed algorithm can detect and isolate any unexpected sensor faults in real time.…”

Section: Introductionmentioning

confidence: 99%

Integrated fault tolerant attitude control approach for satellite attitude system with sensor faults

Qian

Zheng

2019

Optim Control Appl Methods

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Summary In this study, a novel integrated fault tolerant control (FTC) strategy is proposed for a rigid satellite attitude systems under the case of external disturbance, Lipschitz nonlinearity, and sensor faults. Different from the traditional adaptive fault estimation method, an augmented fault estimation observer is designed for the considered faulty satellite attitude system, which could be used for estimating both system state and sensor fault. A virtual observer is firstly introduced, and then, a real observer is derived as a result of the unmeasurable information to be used for the design of the virtual observer. On this basis, an integrated FTC approach is developed for the considered faulty satellite attitude system by combining backstepping control and fractional order nonsingular terminal sliding mode control techniques, such that the closed‐loop system not only has good robustness to external disturbance but also has better fault tolerance capability to unknown sensor fault. Finally, a simulation example is provided to demonstrate the feasibility and advantage of the proposed FTC scheme.

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Real-time sensor fault detection and isolation for LEO satellite attitude estimation through magnetometer data

Cited by 19 publications

References 34 publications

Pedestrian Attitude Estimation and Recognition Algorithm Based on RF Data

Pedestrian Attitude Estimation and Recognition Algorithm Based on RF Data

Sensor fault-tolerant attitude determination system based on the nonlinear interacting-multiple-model approach

Integrated fault tolerant attitude control approach for satellite attitude system with sensor faults

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