An adaptive event-triggered trajectory tracking control approach is designed to address parameter uncertainties and external disturbance in quadrotor unmanned aerial vehicle (UAV) systems. Combine backstepping method with dynamic surface control method. Introduce radial basis function neural network (RBFNN) to compensate for unknown disturbance. Propose an event-triggered mechanism to reduce update frequency, thereby reducing actuator wear. Simulation results demonstrate that this control method has strong anti-interference ability and achieves ideal control accuracy, effectively solving the double-closed-loop trajectory tracking control problem of quadrotor UAVs.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Event-Triggered Adaptive Trajectory Tracking Control for Quadrotor Unmanned Aerial Vehicles


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:

    Conference:

    Chinese Intelligent Automation Conference ; 2023 ; Nanjing, China October 02, 2023 - October 05, 2023



    Publication date :

    2023-09-23


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Quadrotor Unmanned Aerial Vehicle Trajectory Tracking Under Event-Triggered Sliding Mode Control

    Jiang, Han / Yin, Ruhui / Shu, Zilin et al. | Springer Verlag | 2025


    Adaptive fuzzy backstepping control for trajectory tracking of unmanned aerial quadrotor

    Yacef, Fouad / Bouhali, Omar / Hamerlain, Mustapha | IEEE | 2014



    Event-triggered nonlinear model predictive control for trajectory tracking of unmanned vehicles

    Zou, Kai / Cai, Yingfeng / Chen, Long et al. | SAGE Publications | 2023


    Trajectory Tracking Control for Micro Unmanned Aerial Vehicles

    Zhai, Rui Yong ;Zhang, Wen Dong ;Zhou, Zhao Ying | Trans Tech Publications | 2013