Unmanned aerial vehicles (UAVs) can either be flown autonomously or remotely by a pilot. Due to its many benefits, including the capacity to take off and land vertically and the ability to take off and land in a small space, this form of UAV quadcopter is currently the subject of extensive research. An autonomous UAV is being developed to reduce the likelihood of pilot operating errors when managing the UAV. The quadcopter dynamic system in this study was controlled primarily by a radial basis function neural network (RBFNN), and its performance was evaluated using simulation on a test track with outside disturbances. One test track is used for the simulation, and there are no outside disturbances. Input of external noise occurs concurrently for x, y, and z coordinates. The average of error for the control system SMC and SMC-RBFNN without disturbance is 0 according to the simulation results. Additionally, the SMC control system’s of error with external disturbances is 0.74, whereas it is 0.54 for the SMC-RBFNN control system. This is demonstrated by the system’s ability to return to the test track at the present within 9 seconds while employing the SMC-RBFNN controller. In contrast, the system can reach the test track in 18 seconds while using the SMC. The SMC- RBFNN is one of the suitable control strategies for flight missions with external disturbances, it may be inferred.


    Access

    Download


    Export, share and cite



    Title :

    Control System for Quadcopter UAV based SMC-RBFNN with External Disturbance


    Contributors:


    Publication date :

    2024




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    PID and Fuzzy-PID Control Model for Quadcopter Attitude with Disturbance Parameter

    Kuantama, Endrowednes / Vesselenyi, Tiberiu / Dzitac, Simona et al. | BASE | 2017

    Free access

    QUADCOPTER

    KORNILOV VLADIMIR ALEKSANDROVICH / TUGAENKO VYACHESLAV YUREVICH | European Patent Office | 2020

    Free access


    QUADCOPTER ARTIFICIAL INTELLIGENCE CONTROLLER AND QUADCOPTER SIMULATOR

    RESTIFO JORDAN / SKARICA VEDRAN / MILLER CHRIS | European Patent Office | 2020

    Free access

    Dynamic Modeling and Control of the Quadcopter Under External Disturbances

    Saif, Md / Kumar, Sanjay / Dewan, Lillie | IEEE | 2024