Unmanned Aerial Vehicles (UAVs) are recently attracting significant research attention due to their potential applications in many fields. Hexacopter UAV offers higher payloads handling and faults tolerance than a quadcopter but its control is a demanding task. In this paper, an adaptive Neural Networks (NN) controller is proposed for altitude tracking and attitude stabilization of a hexacopter UAV with uncertain dynamics. The controller design, simulation and robustness against gust disturbances are discussed. Also, the controller performance is compared with a standard Filtered-Proportional-Derivative-Integrator (FPID) controller for different control scenarios.


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    Title :

    Adaptive Neural Altitude Control and Attitude Stabilization of a Hexacopter with Uncertain Dynamics




    Publication date :

    2019-07-01


    Size :

    633354 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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