In this paper, an expanded Elman network is applied to forecast the vehicle dynamic characteristic and a one step predictive control is also put into use to reinforce its handling stability. The combined control strategy is established based on the conception of the distribution of the driving force between the front and rear driving axles that can be easily achieved in an EV. Moreover, in this research, the distribution proportion of longitudinal driving force defining as a parameter is introduced and the control method of vehicle stability with the aid of the distribution proportion between axles is investigated.Simu1ations have been carried out and the results indicate that the proposed control strategies achieve smooth control effects and rapid target tracking response. This method can be easily applied to the vehicles that are driven by motors, and is capable of improving the lateral dynamic stability of vehicles in most conditions.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    The Application of the Elman Network on the Vehicle Handling Stability Control



    Published in:

    Advanced Materials Research ; 199-200 ; 1457-1461


    Publication date :

    2011-02-21


    Size :

    5 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Dynamic T-S Fuzzy Elman Network and Its Application

    Yuan, X. / Han, H. / Qiao, J. | British Library Online Contents | 2014


    Nonlinear forecasting of Freight Volume based on Elman Network Model

    Meng Zhen / Zhou Huiyu | DOAJ | 2021

    Free access


    Intelligent Control for USV Based on Improved Elman Neural Network with TSK Fuzzy

    Chuang, Shang-Jen / Chen, Chiung-Hsing / Hong, Chih-Ming et al. | Tema Archive | 2014