Agent-based algorithm for fault detection and recovery of gyroscope's drift in small satellite missions

Carvajal-Godínez, Johan; Guo, Jian; Gill, Eberhard

doi:10.1016/j.actaastro.2017.07.001

Cited by 8 publications

(4 citation statements)

References 21 publications

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“…A space mission should equipped with some mechanisms to detect and isolate a failure and sustain system operation with a damaged or recovered element. Carvajal-Godinez et al [144] proposed agent-based faulty detection and recovery of gyroscopes used in measuring and controlling the attitude of a satellite, the developed algorithm was able to address the linear drift bias of gyroscope. The challenges for a spacecraft design should focus on the reliability of components, subsystems, and the integration of all accessible space components as whole [48].…”

Section: ) Spacecraft Designmentioning

confidence: 99%

The State of the Art of Information Integration in Space Applications

Yung

et al. 2022

IEEE Access

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This paper aims to present a comprehensive survey on information integration (II) in space informatics. With an ever-increasing scale and dynamics of complex space systems, II has become essential in dealing with the complexity, changes, dynamics, and uncertainties of space systems. The applications of space II (SII) require addressing some distinctive functional requirements (FRs) of heterogeneity, networking, communication, security, latency, and resilience; while limited works are available to examine recent advances of SII thoroughly. This survey helps to gain the understanding of the state of the art of SII in sense that (1) technical drivers for SII are discussed and classified; (2) existing works in space system development are analyzed in terms of their contributions to space economy, divisions, activities, and missions; (3) enabling space information technologies are explored at aspects of sensing, communication, networking, data analysis, and system integration; (4) the importance of first-time right (FTR) for implementation of a space system is emphasized, the limitations of digital twin (DT-I) as technological enablers are discussed, and a concept digital-triad (DT-II) is introduced as an information platform to overcome these limitations with a list of fundamental design principles; (5) the research challenges and opportunities are discussed to promote SII and advance space informatics in future.INDEX TERMS Information integration (II), space informatics, digital triad (DT-II), internet of digital-triad things (IoDTT), first-time right (FTR), space information integration (SII). FIGURE 2. Technical drivers of II applications.

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Section: ) Spacecraft Designmentioning

confidence: 99%

The State of the Art of Information Integration in Space Applications

Yung

et al. 2022

IEEE Access

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“…Several methods developed in this field, which the substantial difference between them, are the information and knowledge to formulate the system application [2]. Detection can be obtained based on prior knowledge (model-based design according to mathematical equations) or the databased approach using numerous observation and experimental tests (like black-box models, neural networks) [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Development of A Modified Extended Model-Based Fault Detection And Diagnosis Approach

Alikhani

Sharifi

2021

Preprint

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A supervisory system for space missions is critical due to the high risk of missions, the costs, and the impossibility of adding redundancy. The model-based fault detection approaches are of interest due to their highly responsive speed, robustness against disturbances and uncertainties, and accuracy. Conventional model-based methods have some drawbacks such as feasibility and applicability. In this paper, a modified extended multiple models adaptive estimation (MEMMAE) method is developed which keep both the advantages of the previous model-based methods and take into account some limitations of that. This approach can be performed on various systems to detect and diagnose faults, with appropriate response speed and resistance to uncertainty and disturbances. By combining the recursive least-square algorithm with the extended multiple model adaptive estimation (EMMAE) method, the limitations of this method including simultaneous fault detection, diagnostics of failure cause, and high processing volume are eliminated. The method is implemented on a spacecraft as a case study using the MATLAB/SIMULINK software and demonstrates that the responsive speed and accuracy of the proposed method is significantly much more effective and accurate than the previous method.

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“…When a sensor reads a value incorrectly, it will be possible to estimate the percentage of its error if necessary (Naidu et al, 1990). There are some proposals where an algorithm is created to accomplish fault detection and, when there is a fault, it is isolated and recovered (Carvajal-Godinez et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…This is not an easy task, because normally sensors operating in industrial environments (Shen et al, 2015) experience some failures. In a typical process, it is possible for one or more of those anomalies to occur: faults in actuators, disturbances in the process, sensor faults and measurement noise (Carvajal-Godinez et al, 2017). With the aim of mitigating the above mentioned possibilities, it would be necessary to develop an algorithm for fault detection which would isolate the errors in its first step and then would recover the correct data (Heredia and Ollero, 2010).…”

Section: Introductionmentioning

confidence: 99%

Virtual Sensor for Fault Detection, Isolation and Data Recovery for Bicomponent Mixing Machine Monitoring

Jove¹,

Casteleiro‐Roca²,

Quintián³

et al. 2019

Informatica

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The present research shows the implementation of a virtual sensor for fault detection with the feature of recovering data. The proposal was implemented over a bicomponent mixing machine used for the wind generator blades manufacture based on carbon fiber. The virtual sensor is necessary due to permanent problems with wrong sensor measurements. The solution proposed uses an intelligent model able to predict the sensor measurements, which are compared with the measured value. If this value belongs to a specified range, it is valid. Otherwise, the prediction replaces the read value. The process fault detection feature has been added to the proposal, based on consecutive erroneous readings, obtaining satisfactory results.

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Agent-based algorithm for fault detection and recovery of gyroscope's drift in small satellite missions

Cited by 8 publications

References 21 publications

The State of the Art of Information Integration in Space Applications

The State of the Art of Information Integration in Space Applications

Development of A Modified Extended Model-Based Fault Detection And Diagnosis Approach

Virtual Sensor for Fault Detection, Isolation and Data Recovery for Bicomponent Mixing Machine Monitoring

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