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.
Model Predictive Current Controlled PMSM Drive with Fuzzy Logic for Electric Vehicle Applications
2024-05-12
739179 byte
Conference paper
Electronic Resource
English
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