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Implementation of adaptive neuro fuzzy inference system controller on magneto rheological damper suspension

Conference Paper


Abstract


  • In this paper, we consider the implementation of

    an Adaptive Neuro Fuzzy Inference System (ANFIS) technique

    to control a quarter vehicle suspension systems with a semiactive

    magneto rheological (MR) damper. A quarter-car

    suspension model together with the MR damper is set up, and a

    semi-active controller composed of the Skyhook-Groundhook

    controller and the ANFIS model is designed. The design of

    ANFIS method use Fuzzy model with Gaussian membership

    function configuration and back propagation method as learning

    Fuzzy’s parameter. This control strategy is proposed to

    compensate the uncertainties problem of MR damper. Finally,

    in the simulation of the comparison of semi active suspension

    ANFIS controller, Skyhook-Groundhook controller and Passive

    Suspension is shown using MATLAB. The simulation results

    demonstrate that the ANFIS method provides better isolation

    than that via Passive Suspension.

Publication Date


  • 2013

Citation


  • Nugroho, P. Wahyu., Du, H., Li, W. & Alici, G. (2013). Implementation of adaptive neuro fuzzy inference system controller on magneto rheological damper suspension. 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) (pp. 1399-1403). United States: IEEE.

Scopus Eid


  • 2-s2.0-84883729413

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1264

Start Page


  • 1399

End Page


  • 1403

Place Of Publication


  • United States

Abstract


  • In this paper, we consider the implementation of

    an Adaptive Neuro Fuzzy Inference System (ANFIS) technique

    to control a quarter vehicle suspension systems with a semiactive

    magneto rheological (MR) damper. A quarter-car

    suspension model together with the MR damper is set up, and a

    semi-active controller composed of the Skyhook-Groundhook

    controller and the ANFIS model is designed. The design of

    ANFIS method use Fuzzy model with Gaussian membership

    function configuration and back propagation method as learning

    Fuzzy’s parameter. This control strategy is proposed to

    compensate the uncertainties problem of MR damper. Finally,

    in the simulation of the comparison of semi active suspension

    ANFIS controller, Skyhook-Groundhook controller and Passive

    Suspension is shown using MATLAB. The simulation results

    demonstrate that the ANFIS method provides better isolation

    than that via Passive Suspension.

Publication Date


  • 2013

Citation


  • Nugroho, P. Wahyu., Du, H., Li, W. & Alici, G. (2013). Implementation of adaptive neuro fuzzy inference system controller on magneto rheological damper suspension. 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) (pp. 1399-1403). United States: IEEE.

Scopus Eid


  • 2-s2.0-84883729413

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1264

Start Page


  • 1399

End Page


  • 1403

Place Of Publication


  • United States