UAVs are mostly used for surveillance, inspection and data acquisition. We have developed a Quadrotor UAV that is constructed based on a four motors with a lift-generating propeller at each motors. In this paper, we discuss the development of a quadrotor and its neural networks direct inverse control model using the actual flight data. To obtain a better performance of the control system of the UAV, we proposed an Optimized Direct Inverse controller based on re-training the neural networks with the new data generated from optimal maneuvers of the quadrotor. Through simulation of the quadrotor using the developed DIC and Optimized DIC model, results show that both models have the ability to stabilize the quadrotor with a good tracking performance. The optimized DIC model, however, has shown a better performance, especially in the settling time parameter.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Optimization of a neural network based direct inverse control for controlling a quadrotor unmanned aerial vehicle


    Beteiligte:


    Erscheinungsdatum :

    2015




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Inverse compensation stable-attitude quadrotor unmanned aerial vehicle

    ZHU LIFEN / GUO GUANGZHUANG | Europäisches Patentamt | 2015

    Freier Zugriff

    Turnable quadrotor unmanned aerial vehicle

    TIAN HAOYANG / LIANG WENXIANG / CHEN WENJUAN et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    Tracking Control Design for Quadrotor Unmanned Aerial Vehicle

    Nadda, Sudhir / Swarup, A. | BASE | 2017

    Freier Zugriff

    Variable-pitch quadrotor unmanned aerial vehicle

    WANG ZIYI / CHEN WENJUAN / ZENG ZHOUJIE et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    Quadrotor unmanned aerial vehicle debugging platform

    ZHANG LEI | Europäisches Patentamt | 2020

    Freier Zugriff