Induction Machine-Based EV Vector Control Model Using Mamdani Fuzzy Logic Controller

The growing demand for electric vehicles (EVs) underscores the need for environmentally friendly and intelligent speed control strategies. This paper proposes a Mamdani fuzzy logic controller (MFLC) to efficiently regulate the speed of EVs at discrete levels. The MFLC member functions (MFs) are tuned for three distinct speed modes (40, 60, and 80 km/h). The proposed speed controller, tested in the MATLAB (Simulink) environment, shows significant improvement in dynamic speed control compared to the traditional PI controller. This model demonstrates superior tracking of user-defined speed profiles and robustness against speed transients at specified time intervals. Additionally, the MFLC model eliminates overshoot and substantially reduces steady-state time, outperforming conventional controllers in terms of speed tracking accuracy.

Keywords: induction machine; Mamdani fuzzy logic controller; proportional-integral; integrated gate bipolar transistor; inductance; electromagnetic torque; flux; membership function.