This paper treats the design and control of different models and control strategies for an Electric Vehicle (EV). An hybrid controller is designed using a fuzzy logic integrated in Maximum Control Structure (FL-MCS), the FL nonlinear controller involves online estimation of the total reference force which corresponds to a torque reference to be applied to MCS. The second proposed regulator is a states feedback controller using the Linear Quadratic Regulation (LQR) to optimise and to determine the feedback control parameters. The LQR allows reducing the consumption of the energy according to the desired EV's dynamic performances, these lasts can be changed depending on the choice of Q and R matrices. In this work, we apply and validate the proposed control strategies by a comparison between our simulation results and the results of the classical MCS, which has been developed by L2EP (Lille, France) to control the EV speed under Matlab/Simulink.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Fuzzy Logic Maximum Structure and State Feedback Control Strategies of the Electrical Car


    Contributors:
    Kraa, O. (author) / Aboubou, A. (author) / Becherif, M. (author) / Ayad, M.Y. (author) / Saadi, R. (author) / Bahri, M. (author) / Ghodbane, H. (author)


    Publication date :

    2014


    Size :

    8 Seiten, 11 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Fuzzy Logic and Control Strategies on a Sump

    Nasser Mohamed Ramli / Nurul Izzati Zulkifli | BASE | 2018

    Free access


    Fuzzy logic feedback control for fed-batch enzymatic hydrolysis of lignocellulosic biomass

    Tai, Chao / Voltan, Diego S. / Keshwani, Deepak R. et al. | BASE | 2016

    Free access


    Hybrid state-feedback sliding-mode controller using fuzzy logic for four-wheel-steering vehicles

    Alfi, Alireza / Farrokhi, Mohammad | Taylor & Francis Verlag | 2009