In this paper, a new active disturbance rejection control (ADRC) scheme based on swarm intelligent method is proposed for quadrotors to achieve position tracking and attitude stabilization. First, the finite-time convergent extended state observer (FTCESO) is designed to enhance the performance of ADRC controller. Then, the chaotic grey wolf optimization (CGWO) algorithm is developed with chaos initialization and chaos search to obtain the optimal parameters of attitude and position controllers. Numerical simulations are presented to demonstrate the effectiveness of the CGWO-based ADRC scheme.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Chaotic grey wolf optimization-based active disturbance rejection control applied to quadrotor trajectory tracking


    Contributors:
    Lou, Jiang (author) / Zhou, Hui (author) / Cai, Zhihao (author) / Zhao, Jiang (author) / Wu, Kun (author) / Wang, Yingxun (author)


    Publication date :

    2018-08-01


    Size :

    192201 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A nonlinear quadrotor trajectory tracking controller with disturbance rejection

    Cabecinhas, David / Cunha, Rita / Silvestre, Carlos | Tema Archive | 2014


    Trajectory tracking control of a quadrotor UAV based on sliding mode active disturbance rejection control

    Zhang, Yong / Chen, Zengqiang / Sun, Mingwei et al. | BASE | 2019

    Free access


    Grey Wolf Optimization-Based Active Disturbance Rejection Controller Design for a Hybrid Autogyro

    Hou, Jiajia / Liu, Xiuming / Chen, Mo et al. | Springer Verlag | 2021


    Robust error-based active disturbance rejection control of a quadrotor

    Lechekhab, Taki Eddine / Manojlovic, Stojadin / Stankovic, Momir et al. | Emerald Group Publishing | 2020