The inherent nonlinearity, open-loop instability, parameter perturbation and uncertainty of external interference in the maglev system of the normal-conducting medium-to-low-speed maglev train make it difficult for traditional control methods to achieve good control results. This paper takes the F-track single-point suspension system as the research object, establishes the open-loop transfer function of the single-point suspension system, and uses the linear active disturbance rejection control (LADRC) algorithm to design the LADRC controller to realize the single-point suspension system. The linear extended state observer (LESO) is designed to observe the internal dynamic changes and external disturbance information in real time, so as to estimate the “total disturbance” of the system; the linear state error feedback control law (LSEF) is designed to generate control variables and compensate for disturbances. LADRC can reduce the dependence of the controlled object on the mathematical model, overcome the influence of the nonlinearity, time delay and uncertainty of the system on the tracking effect, and improve the stability and anti-interference ability of suspension control during train operation. The simulation experiment compares the control effects of LADRC and PID controllers. The results show that LADRC is superior to PID control in terms of rapid response, followability, anti-disturbance ability and dynamic performance.


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    Titel :

    Research on Control Strategy of Single-Point Suspension System Based on Linear Active Disturbance Rejection


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Liang, Jianying (Herausgeber:in) / Jia, Limin (Herausgeber:in) / Qin, Yong (Herausgeber:in) / Liu, Zhigang (Herausgeber:in) / Diao, Lijun (Herausgeber:in) / An, Min (Herausgeber:in) / Yang, Jie (Autor:in) / Zhang, Yue (Autor:in) / Yang, Xing (Autor:in) / Hu, Hailin (Autor:in)

    Kongress:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2021 October 21, 2021 - October 23, 2021



    Erscheinungsdatum :

    19.02.2022


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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