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  • International Information and Engineering Technology Association  (1)
  • Dang, Ngoc Duyen  (1)
  • Nguyen, Tuan Anh  (1)
  • Unbekannt  (1)
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  • International Information and Engineering Technology Association  (1)
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    Online-Ressource
    Online-Ressource
    International Information and Engineering Technology Association ; 2022
    In:  Mathematical Modelling of Engineering Problems Vol. 9, No. 3 ( 2022-06-30), p. 628-636
    In: Mathematical Modelling of Engineering Problems, International Information and Engineering Technology Association, Vol. 9, No. 3 ( 2022-06-30), p. 628-636
    Kurzfassung: The suspension system plays a role in ensuring the stability of the vehicle when traveling on the road. On many modern vehicles, the active suspension system has been proposed to replace the conventional passive suspension system. The performance of the controller for the active suspension system depends on its control method. In this paper, a half dynamics model of the vehicle is established. Besides, the LQR control method is also used. The parameters of the control matrix are calculated through the triple in-loop optimization algorithm, which has been shown in the research. This is a completely novel algorithm. This algorithm helps to choose the most optimal parameters. Thus, it ensures the efficiency and stability of the controller. The calculation and comparison process are done automatically. When the loop ends, the optimal parameters are explicitly indicated. The simulation process is done in the MATLAB-Simulink environment. The results of the research showed that when the LQR controller, which was optimized through the triple in-loop algorithm used, the vehicle's oscillation was significantly reduced. In the three survey situations, the values of the roll angle and the angular acceleration of the sprung mass are guaranteed to be stable. Besides, when using this controller, the phenomenon of “chattering” after the excitation ends does not appear. This topic can be further developed in the future.
    Materialart: Online-Ressource
    ISSN: 2369-0739
    URL: Issue
    Sprache: Unbekannt
    Verlag: International Information and Engineering Technology Association
    Publikationsdatum: 2022
    ZDB Id: 2899338-X
    Standort Signatur Einschränkungen Verfügbarkeit
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