Approaches such as autonomous, intelligent, and adaptive control algorithms have shown significant promise for improving the safety and performance, and expanding the capabilities of air vehicles, but V&V has been a major obstacle to their implementation in fleet aircraft. This paper presents a V&V aware control architecture intended to help overcome these hurdles and facilitate the flight certification of advanced control approaches. The architecture segregates high risk components of the control system, such as the adaptive and intelligent algorithms, and employs run-time safety monitors to perform real-time checks on the behavior of these components. In the event that a problem is detected, the safety monitors trigger a switch from the high-risk components to a failsafe control mode. The failsafe mode is fully verified and validated at design time to provide a safe return to base capability, though performance and mission capabilities will typically be reduced in this mode. The run-time architecture was demonstrated in a batch simulation of a VTOL UAV with an indirect adaptive control law performing a shipboard landing task. The approach greatly increased the percentage of safe landings in the case of an intentionally poorly tuned on-line parameter identification algorithm in the indirect adaptive control law.


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    Title :

    New verification and validation methods for guidance/control of advanced autonomous systems


    Contributors:


    Publication date :

    2005


    Size :

    12 Seiten, 21 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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