This paper presents the design, development, and implementation of a bioinspired fault diagnosis scheme applied to a cold gas–based spacecraft prototype. The proposed framework relies on the artificial immune system metaphor with the goal of monitoring the health of the spacecraft by detecting subsystem upset conditions such as actuator malfunctions. A nonlinear dynamic inversion baseline controller with adaptation capabilities has been developed and implemented for attitude control of the spacecraft. The performance of the proposed health-monitoring scheme is determined by analyzing the system response under different actuator failures while the spacecraft is operated with and without adaptive augmentation. In both cases, the results show acceptable performance in terms of high detection activity and low false alarms with real-time capabilities. The application of this artificial intelligence–based scheme to aerospace systems will provide a high impact on space exploration by increasing mission protection and performance.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Spacecraft Heath Monitoring Using a Biomimetic Fault Diagnosis Scheme


    Beteiligte:
    Garcia, Diego F. (Autor:in) / Perez, Andres E. (Autor:in) / Moncayo, Hever (Autor:in) / Rivera, Karina (Autor:in) / Betancur, Yomary (Autor:in) / DuPuis, Michael (Autor:in) / Mueller, Robert P. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2018-03-05


    Format / Umfang :

    18 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Spacecraft Health Monitoring Using a Biomimetic Fault Diagnosis Scheme

    Garcia, Diego / Moncayo, Hever / Perez Rocha, Andres E. et al. | AIAA | 2017


    Spacecraft Health Monitoring Using a Biomimetic Fault Diagnosis Scheme (AIAA 2017-1294)

    Garcia, Diego / Moncayo, Hever / Rocha, Andres E. Perez et al. | British Library Conference Proceedings | 2017


    Spacecraft Operation Process Monitoring and Fault Diagnosis System

    Yang, Fan / Cai, Junliang / Liu, Jiang et al. | IEEE | 2022


    Fault Diagnosis for Spacecraft Using Probabilistic...

    Kawahara, Yoshinobu / Yairi, Takehisa / Machida, Kazuo | AIAA | 2005


    Spacecraft Fault Diagnosis Using a Data Mining

    Ishihama, N. / Ogasawara, S. / Yairi, T. | British Library Conference Proceedings | 2002