To improve the estimation result of the linear extended state observer (LESO), we propose a linear active disturbance rejection control strategy based on the UKF identification. We use the UKF identification method to identify the unknown parameters of the system model and the controller gain $\mathrm {b}_{0}$ of the linear active disturbance rejection control (LADRC), thereby reducing the uncertain factors of the controlled system and improving the ability of the LESO to estimate the generalized disturbance of the system. The proposed control strategy is applied to the rotor-driving system. The simulation results show that the proposed method has better control effect compared with the traditional LADRC, and the estimation ability of the linear extended state observer is stronger.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Linear Active Disturbance Rejection Control Based on UKF Identification


    Contributors:
    YAO, Zhennan (author) / WANG, Biao (author) / XU, Jialiang (author) / TANG, Chaoying (author)


    Publication date :

    2018-08-01


    Size :

    499676 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    UAV Taxiing Control Based on Linear Active Disturbance Rejection Control

    Xie, Kun / Wu, Liaoni / He, Chengchan | IEEE | 2021


    Event-Triggered Active Disturbance Rejection Control

    Shi, Dawei / Huang, Yuan / Wang, Junzheng et al. | Springer Verlag | 2021


    Linear active disturbance rejection control of the hovercraft vessel model

    Morales, R. / Sira-Ramírez, H. / Somolinos Sánchez, José Andrés | BASE | 2015

    Free access

    Research on Aircraft Attitude Control Method Based on Linear Active Disturbance Rejection

    Zhiguo Song / Changjian Zhao / Huiqiang Zhang et al. | DOAJ | 2022

    Free access

    MPC based active disturbance rejection control for automated steering control

    Suhail, Suhail Ahmad / Bazaz, Mohammad Abid / Hussain, Shoeb | SAGE Publications | 2021