Space Station preliminary design studies examined the role of advanced automation and artificial intelligence to facilitate ECLSS control and diagnostics. Advanced automation techniques using independent embedded controllers were selected for the initial station, especially for centralized processes such as water recovery, air revitalization, and waste management. This paper examines the role that advanced computer capabilities can play to enhance advanced missions such as growth station, Moon and Mars exploration. The benefits of artificial intelligence are presented from both the expert system and learned system perspective.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Artificial Intelligence Application to Advanced ECLS Systems


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    Intersociety Conference on Environmental Systems ; 1989



    Publication date :

    1989-07-01




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    European ECLS Technology Programme

    Savage, Chris / Preiss, Helmut | SAE Technical Papers | 1988


    Shuttle Orbiter European Spacelab - ECLS Systems

    Kleiner, G. | Tema Archive | 1974


    Spacelab ECLS Current Status

    Lautenbach, Peter | SAE Technical Papers | 1982


    CMIF ECLS System Test Findings

    Ogle, Kathyrn Y. / Wieland, Paul O. / Schunk, Richard G. et al. | SAE Technical Papers | 1989