Abstract This paper presents the metro constant illumination controller, which is designed to solve the current problem that the interior illumination in a moving metro fluctuates drastically with the changes of exterior environment. By detecting the real-time interior illumination values and adjusting the lights in a metro with PID controller based on BP neural network, the controller can keep the metro interior illumination values around the preset value. Simulations and actual test results show that the PID controller based on BP neural network has strong adaptability and robustness in a nonlinear system. It can both save energy and solve the problem of drastically fluctuating illumination in a moving metro, which cannot be achieved in conventional PID controllers.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Research of Metro Illumination Control Based on BP Neural Network PID Algorithm


    Beteiligte:
    Shao, Yong (Autor:in) / Wang, Fengbo (Autor:in) / Zhang, Yuting (Autor:in) / Zan, Peng (Autor:in)


    Erscheinungsdatum :

    2014-01-01


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Research of Metro Illumination Control Based on BP Neural Network PID Algorithm

    Shao, Y. / Wang, F. / Zhang, Y. et al. | British Library Conference Proceedings | 2014


    Simulation Research on Metro Train Control Circuit Based on Network Topology

    Yinfeng LU / Xuejun QIAN | DOAJ | 2024

    Freier Zugriff

    Research on Passenger Distribution of Metro Network

    Li, Xin / Xu, Jie / Song, Zhenyang et al. | Springer Verlag | 2022


    Research on Passenger Distribution of Metro Network

    Li, Xin / Xu, Jie / Song, Zhenyang et al. | British Library Conference Proceedings | 2022


    Prediction of Failure Rate of Metro Vehicle Bogie Based on Neural Network

    Wang, Xiuqi / Qin, Yong / Fu, Yong et al. | British Library Conference Proceedings | 2020