The paper analyzes the performance of a new estimation method for vehicle suspensions, which incorporates three parallel Kalman filters and takes into account the nonlinear damper characteristic of the suspension. For the performance evaluation, an Extended Kalman filter (nonlinear estimator) is utilized as a benchmark. The estimator structures are tuned by means of a multiobjective genetic optimization algorithm in order to maximize their performance. The advantages of the parallel Kalman filter concept are its low computational effort and good estimation accuracy despite the presence of nonlinearities in the suspension setup. Both estimators are compared to a computationally simple concept that gains the estimates directly from measurement signals by conventional filtering techniques. The performance of the estimators is analyzed in simulations and experiments using a quarter-vehicle test rig and excitation signals gained from measurements of real road profiles.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Nonlinear and filter based estimation for vehicle suspension control


    Contributors:
    Koch, G. (author) / Kloiber, T. (author) / Lohmann, B. (author)


    Publication date :

    2010


    Size :

    6 Seiten, 18 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Control Research of Nonlinear Vehicle Suspension System Based on Road Estimation

    Sun, Jinwei / Dong, Mingming / Qin, Yechen et al. | British Library Conference Proceedings | 2018


    Control Research of Nonlinear Vehicle Suspension System Based on Road Estimation

    Sun, Jinwei / Gu, Liang / Dong, Mingming et al. | SAE Technical Papers | 2018


    State Estimation Based on Interacting Multiple Mode Kalman Filter for Vehicle Suspension System

    Zhao, Feng / Gu, Liang / Dong, Mingming et al. | SAE Technical Papers | 2017


    Vehicle state estimation device, control device, suspension control device, and suspension device

    MINAKUCHI YUICHIRO / IZAWA MASAKI | European Patent Office | 2022

    Free access

    VEHICLE STATE ESTIMATION DEVICE, CONTROL DEVICE, SUSPENSION CONTROL DEVICE, AND SUSPENSION DEVICE

    MINAKUCHI YUICHIRO / IZAWA MASAKI | European Patent Office | 2020

    Free access