Sensor-fault tolerant attitude determination using two-stage estimator

Byeon, Sooyung; Mok, Sung-Hoon; Woo, Hyunwook; Bang, Hyochoong

doi:10.1016/j.asr.2019.02.007

Cited by 15 publications

(6 citation statements)

References 20 publications

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“…Furthermore, a two-stage estimator for a sensor fault-tolerant attitude estimation system has also been developed. 107 In this research, first, the model detects the sensor fault via the utility of an interacting multiple model technique to roughly estimate the sensor parameter changes. Then, a proposed filter is used to more precisely estimate the sensor parameter changes.…”

Section: Classification Of Fdd Techniquesmentioning

confidence: 99%

Advanced fault detection and diagnosis in spacecraft attitude control systems: Current state and challenges

Pourtakdoust

Mehrjardi

Hajkarim

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part G:

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A review of advanced fault detection and diagnosis (FDD) techniques in attitude control systems (ACSs) of spacecraft is presented. In the first part of the paper, several types of ACS failure scenarios with their practical solutions are presented. Next, the existing approaches to FDD are considered and classified based on different criteria, including applications and design techniques. The literature of this part showed that to enhance ACS operational safety, predictability of failure of an ACS and/or of its components as well as reducing the possibility of failure occurrence is imperative. In addition, fast FDD of various kinds of failures is necessary to guarantee the required reliability of an ACS. The second part of this study highlights challenges involved with different FDD approaches, emphasizing their practical applicability. Current research gaps in FDD techniques such as insensitive residual signal, process monitoring methods, accurate plant model design, easy-to-use software development, FDD tuning process, dealing with noisy sensor measurements, time taken for fault management, the sensitivity of FDD system to faults, and FDD robustness are further elaborated on. Subsequently, the state-of-the-art FDD and its future needs are reflected on. The results of this study could direct spacecraft manufacturers and ACS providers to focus on future needs and improve ground testing for enhanced operational reliability and redundancy.

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Section: Classification Of Fdd Techniquesmentioning

confidence: 99%

Advanced fault detection and diagnosis in spacecraft attitude control systems: Current state and challenges

Pourtakdoust

Mehrjardi

Hajkarim

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part G:

View full text Add to dashboard Cite

show abstract

“…Byeon uses the new sensor parameter enhancement lter to accurately estimate sensor parameter changes. Although the accuracy of his research has improved, there are many interference factors that have not been considered [3]. His research also has related problems such as low computational accuracy.…”

Section: Introductionmentioning

confidence: 99%

Table Tennis Technical and Tactical Ability Based on Secure Internet of Things and BP Neural Network

Zhang

2022

Mobile Information Systems

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Table tennis forehand fast attack and loop technology is the core technology of the project, and table tennis footwork is directly related to the technical level and development prospects of athletes. However, it is very difficult to study technical issues such as the footwork of table tennis. This paper mainly studies the table tennis movement analysis and strength monitoring system based on the posture sensor. This article introduces the improved BP neural network algorithm of Secure Internet of Things. The dynamic error compensation of the sensor is verified by experiments. In the prediction stage, the system uses the estimated value of the previous state as the input value to estimate the current state. In the calibration stage, the output data of the current state can be used as the prediction data of the next state to get more accurate output value. MATLAB is used to read the data, the sampling frequency is 50 Hz, and the acceleration and angular velocity data are output at the same frequency. Finally, the flight trajectory of table tennis is predicted. The difference between the actual velocity and the carrier is about 0.07 m/s, and the actual displacement is about 0.45 m. The results show that the attitude sensor plays a good role in monitoring the movement track and serving strength of table tennis.

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“…Byeon, et al suggested a two-stage sensor fault-tolerant attitude estimator for abrupt changes in gyro bias and star tracker misalignment. 8 In the first stage, FDD are achieved by using an IMM. The precise sensor parameters are estimated in the second stage with a sensor-parameter-augmented filter defined as a selectively augmented extended Kalman filter.…”

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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Sensor-fault tolerant attitude determination using two-stage estimator

Cited by 15 publications

References 20 publications

Advanced fault detection and diagnosis in spacecraft attitude control systems: Current state and challenges

Advanced fault detection and diagnosis in spacecraft attitude control systems: Current state and challenges

Table Tennis Technical and Tactical Ability Based on Secure Internet of Things and BP Neural Network

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

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