Electric vehicle (EV) propulsion systems frequently employ permanent magnet synchronous motors (PMSMs) because of their remarkable torque-to-current ratio, high power-to-weight ratio, robustness, and exceptional efficiency. This paper compares the proportional integral (PI) control and fuzzy logic within the finite-control-set model predictive current control (FCS-MPCC) scheme for PMSM speed regulation. The FCS-MPCC control enhances the accuracy of current regulation, contributing to improved efficiency and response times than other commonly used control methods. Typically, Positive steady-state performance is demonstrated by the PI speed controller, but it is susceptible to parameter variations like load changes and speed fluctuations. For achieving a superb performance, a fuzzy logic speed controller is employed for advancing electric propulsion systems in the realm of EV applications. MATLAB/Simulink is used to run the simulation. and the results demonstrate that the FLC controller presents good performances and high robustness compared to the PI speed regulation strategies.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Model Predictive Current Controlled PMSM Drive with Fuzzy Logic for Electric Vehicle Applications


    Contributors:


    Publication date :

    2024-05-12


    Size :

    739179 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Sensorless Vector Control of PMSM Drive Using Fuzzy Logic, for EV/HEV Applications

    Moghbeli, H. / Shahnazari, M. / Farrokhi, M. et al. | British Library Conference Proceedings | 2003


    Sensorless Vector Control of PMSM Drive Using Fuzzy Logic, for EV/HEV Applications

    Moghbeli, H. / Farrokhi, M. / Shahnazari, M. | SAE Technical Papers | 2003


    Multimode Model Predictive Control for PMSM Drive System

    Zhang, Xiaoguang / Zhang, Chenguang / Xu, Chi et al. | IEEE | 2023