In this paper an automatic decision-making support system for approach and landing of civil airliners is presented. Based on the available measurement data within the autoflight system the risk associated with the current flight condition is assessed considering atmospheric conditions, instantaneous flight parameters, the aircraft's energy balance and possible system failures. Should this risk assessment conclude that the continuation of the approach exceeds regulatory limits or poses a threat to the the aircraft's safety, a recommendation to initiate a Go-Around (GA) manoeuvre is generated. The objectives of this additional function are to reduce the flight crew's workload during the highly demanding approach flight phase and increase its situational awareness by supporting their decision making process. In order to assess the influence of the decision support system on the crew's situational awareness and workload, a simulator study with DLR's test pilots is performed and its preliminary results are presented. An overview of an automatic decision-making support system for a recommendation to initiate a Go-Around is presented herein. It consists of four modules considering criteria for Atmospheric Conditions, Approach Stabilization, Energy and System Status. The approach stabilization evaluation module was assessed by a limited simulator study on a fixed-base Airbus A320 simulator. First results of this study indicate the usefulness of the new decision-making support system under adverse weather conditions or on airports with challenging approach procedures. Improvements for the display design were found which are currently implemented into the system in order to enhance the situational awareness during the critical flight phase of the final approach. Further flight simulator studies are planned focusing on the improved display design and the assessment of the energy criterion.


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    Title :

    Automatic decision support system for approach and landing


    Contributors:


    Publication date :

    2012


    Size :

    9 Seiten, 4 Bilder, 2 Tabellen, 11 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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