The active control suspension system can improve both the riding comfort and handling safety in various operation conditions. In this paper, according to the evaluation method of riding comfort and handling safety of vehicle, the acceleration of the sprung mass, dynamic tyre load between wheels and the unsprung mass are determined as the evaluation targets of suspension performance. The least mean squares (LMS) adaptive algorithm is used in active suspension system. With adjusting the weight of the adaptive filter, the minimum quadratic performance index is obtained. For two-DOF vehicle suspension model, the sky-hook control, generalized adaptive control and LMS adaptive control are studied. The simulation results show that LMS adaptive control algorithm is not only simple but also remarkably effective.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Studies on vehicle active suspension based on LMS adaptive algorithm


    Contributors:
    Jianmin Sun, (author) / Qingmei Yang, (author) / Fengying Sun, (author) / Baoshan Ma, (author)


    Publication date :

    2003-01-01


    Size :

    331724 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Studies on Vehicle Active Suspension Based on LMS Adaptive Algorithm

    Sun, J. / Yang, Q. / Sun, F. et al. | British Library Conference Proceedings | 2003


    Optimal Adaptive Active Vehicle Suspension

    Esmailzadeh, E. / Fahimi, F. | British Library Conference Proceedings | 1995


    Semi-active Adaptive Vehicle Suspension Control System with Identification Algorithm

    Kruglov, S. P. / Kovyrshin, S. V. / Zakovyrin, I. A. | Springer Verlag | 2022


    Vehicle Suspension System based on Adaptive Control Algorithm

    Panigrahi, Girija Sankar / Nanda, Anuja / Patra, Akshaya Kumar et al. | IEEE | 2023


    Active Vehicle Suspension with Optimal Adaptive Control

    Esmailzadeh, E. / Fahimi, F. / IMechE; Automobile Division et al. | British Library Conference Proceedings | 1995