Electric vehicle plays an important role to overcome the problems of pollution and burden on the economy due to fossil fuel import. Vector control technique has played a major role in making induction motor, the first choice for electric vehicles drives. Decoupled control of direct and quadrature axis currents of induction motors can be achieved in field-oriented control. Different control techniques like PI, adaptive, model reference-based control, fuzzy logic control etc are implemented to realize the parameters like, speed, current and torque. In this paper performance of Type-1 Mamdani fuzzy logic controllers with 9, 25 and 49 rules is compared and simulation results show that, the performance parameters like steady state errorandrise time decrease with increase in number of rules.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Type-1 Mamdani Fuzzy Logic Controller for Electric Vehicle Drive


    Contributors:


    Publication date :

    2019-11-01


    Size :

    1879607 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    TRAFFIC LIGHT CONTROL USING FUZZY LOGIC MAMDANI METHOD

    Paula Juniana / Lukman Hakim | DOAJ | 2019

    Free access

    Design car braking system using Mamdani Fuzzy Logic Control

    Rizianiza, Illa / Djafar, Alfian | IEEE | 2017


    Perancangan Sistem Pengereman Mobil Menggunakan Mamdani Fuzzy Logic Control

    Illa Rizianiza / Alfian Djafar | DOAJ | 2017

    Free access

    Perancangan Sistem Pengereman Mobil Menggunakan Mamdani Fuzzy Logic Control

    Rizianiza, Illa / Djafar, Alfian | BASE | 2017

    Free access

    Perancangan Sistem Pengereman Mobil Menggunakan Mamdani Fuzzy Logic Control

    Rizianiza, Illa / Djafar, Alfian | BASE | 2017

    Free access