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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Type-1 Mamdani Fuzzy Logic Controller for Electric Vehicle Drive


    Beteiligte:
    Joshi, Girisha (Autor:in) / Pinto Pius, A J (Autor:in)


    Erscheinungsdatum :

    01.11.2019


    Format / Umfang :

    1879607 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    TRAFFIC LIGHT CONTROL USING FUZZY LOGIC MAMDANI METHOD

    Paula Juniana / Lukman Hakim | DOAJ | 2019

    Freier Zugriff

    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

    Freier Zugriff

    Perancangan Sistem Pengereman Mobil Menggunakan Mamdani Fuzzy Logic Control

    Rizianiza, Illa / Djafar, Alfian | BASE | 2017

    Freier Zugriff

    Perancangan Sistem Pengereman Mobil Menggunakan Mamdani Fuzzy Logic Control

    Rizianiza, Illa / Djafar, Alfian | BASE | 2017

    Freier Zugriff