Unmanned Air Vehicles (UAVs) are becoming an integral part of future military forces. This paper presents a three-layer autonomous control architecture for UAV and discusses how each layer functions to enable autonomous operation of UAV. Mission planning is the kernel of UAV autonomous control system. In this paper, PGG (Plan-Goal Graph)-based mission planning algorithm is discussed in detail and used to solve the UAV Suppress Enemy Air Defense (SEAD) mission planning problem successfully.


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    Title :

    Mission planning algorithm for autonomous control system of unmanned air vehicle


    Contributors:
    Yu, Zhouyi (author) / Zhou, Rui (author) / Chen, Zongji (author)

    Conference:

    Fifth International Symposium on Instrumentation and Control Technology ; 2003 ; Beijing,China


    Published in:

    Publication date :

    2003-09-02





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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