Combined with the strong crossover and nonlinear characteristics of the sewage environment of the aeration tank, the dynamic model of the underwater stirring submersible is established, and a control method for fuzzy adaptive improvement is proposed by genetic algorithm. The method uses the fitness equation to represent the overall performance criterion, and the corresponding control parameters are optimized and the autotuning is optimized by genetic algorithms to meet the design requirements of the system. The simulation results show that after the optimization of the genetic algorithm, the shortcomings of the traditional fuzzy adaptive control accuracy are compensated, so that the system has the characteristics of fast response and small overshoot.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Design of underwater stirring robot control system based on genetic algorithm


    Beteiligte:
    He, Junwen (Autor:in) / Ning, Fangjian (Autor:in)


    Erscheinungsdatum :

    12.10.2022


    Format / Umfang :

    1435921 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Stirring robot

    LIU BAOSHENG | Europäisches Patentamt | 2024

    Freier Zugriff

    UNDERWATER ROBOT CONTROL SYSTEM AND UNDERWATER ROBOT CONTROL METHOD

    NOMI MOTOHIKO / SEKINO YUMIKO | Europäisches Patentamt | 2018

    Freier Zugriff

    Underwater robot motion control system and underwater robot

    WANG SHENGWEI / HUANG JUNPING | Europäisches Patentamt | 2020

    Freier Zugriff

    UNDERWATER ROBOT CONTROL SYSTEM AND UNDERWATER ROBOT CONTROL METHOD

    KATO HISAKIMI | Europäisches Patentamt | 2017

    Freier Zugriff

    Underwater robot actuator control system

    LIU QIANG / JIA HONGLI / ZHANG RENDAN et al. | Europäisches Patentamt | 2024

    Freier Zugriff