In this paper, a new multi-objective control allocation method based on the hybrid grey wolf optimizer (HGWO) algorithm is proposed for the aircraft with multiple actuators in monitoring the high voltage tower. This method can improve the efficiency of line inspection and improve the accuracy of hidden danger target identification. Firstly, the multi-actuators aircraft model is introduced. And then, the HGWO is proposed for solving the problem of multi-objective control allocation. Finally, the simulation results is given to prove the effectiveness of the proposed method for the multi-objective control allocation problem. The results show that the method is useful for controlling the attitude angle of multi-actuators aircraft.


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    Title :

    Multi-objective Control Allocation with Hybrid Grey Wolf Optimizer for the UAV in Monitoring the High Voltage Tower


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wu, Meiping (editor) / Niu, Yifeng (editor) / Gu, Mancang (editor) / Cheng, Jin (editor) / Bo, Yang (author) / Chengxian, Sun (author) / Ningning, Wang (author) / Fang, Ma (author)

    Conference:

    International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021



    Publication date :

    2022-03-18


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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