This paper presents a method that designs dual extended Kalman filters (EKFs) for active roll control. There are two Kalman filters: state and parameter estimators. The roll angle of a vehicle is estimated by the state estimator with roll rate measurement. It has been well known that the recursive least square (RLS) or parameter estimation scheme can be represented with Kalman filter. Using the fact, the parameters of a vehicle model are estimated by the parameter estimator using the estimated roll angle. Simulation and experiments are done to validate the proposed dual EKFs for active roll control.


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    Titel :

    Estimation of States and Parameters with Dual Extended Kalman Filters for Active Roll Control


    Weitere Titelangaben:

    Lect.Notes Mechanical Engineering


    Beteiligte:
    Klomp, Matthijs (Herausgeber:in) / Bruzelius, Fredrik (Herausgeber:in) / Nielsen, Jens (Herausgeber:in) / Hillemyr, Angela (Herausgeber:in) / Yim, Seongjin (Autor:in) / Nah, Jaewon (Autor:in) / Park, Manbok (Autor:in)

    Kongress:

    The IAVSD International Symposium on Dynamics of Vehicles on Roads and Tracks ; 2019 ; Gothenburg, Sweden August 12, 2019 - August 16, 2019



    Erscheinungsdatum :

    2020-02-13


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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