This paper studies the problem of aerial maneuvering control, which is formulated as a multi-objective sequential decision making problem, and is solved by the Multi-Objective Monte-Carlo Tree Search (MOMCTS) algorithm which requires little prior knowledge about the specific maneuvering procedure, and achieves the desired maneuvering trajectory through multi-objective optimization. The proposed method is validated by simulation based on the six degree of freedom aerodynamic model of a real trainer aircraft in the case of loop maneuvering. The performance of MOMCTS approach is compared with a traditional method combining trajectory generation and PID control. Experimental results show that MOMCTS outperforms the baseline method at the cost of a lightly decreased robustness.


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    Title :

    Multi-Objective Monte-Carlo Tree Search based aerial maneuvering control


    Contributors:
    Xiang Chen (author) / Xinguo Zhang (author) / Weijia Wang (author) / Wenling Wei (author)


    Publication date :

    2016-08-01


    Size :

    284311 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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