Networked control system for vehicle lateral dynamics is developed in this study to improve the cornering stability. By considering the packet dropouts, network-induced delay, road adhesion variations, driver effect and only yaw rate sensor for measuring, a robust H∞ fuzzy static output feedback controller operating through a communication network is designed. After giving the nonlinear model of the vehicle, its Takagi-Sugeno (T-S) incertain fuzzy model representation is first presented. Next, based on the Lyapunov krasovskii functional approach and a parallel distributed compensation scheme, the gains of the fuzzy controller are determined by solving a set of Linear Matrix Inequalities (LMI). Simulations have been conducted to evaluate the performance of the active cornering stability control system under limitation of the network resources caused by data transmission.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Robust H∞ fuzzy networked control for vehicle lateral dynamics


    Contributors:


    Publication date :

    2013-10-01


    Size :

    293149 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Robust tracking control of vehicle lateral dynamics

    Du, Haiping | Online Contents | 2014


    Robust tracking control of vehicle lateral dynamics

    Du,H. / Zhang,N. / Li,W. et al. | Automotive engineering | 2014


    Robust tracking control of vehicle lateral dynamics

    Du, Haiping / Zhang, Nong / Li, Weihua | Tema Archive | 2014



    Velocity-dependent robust control for improving vehicle lateral dynamics

    Du, Haiping / Zhang, Nong / Naghdy, Fazel | Elsevier | 2010