Akademik Veri Yönetim Sistemi
PHYSICA SCRIPTA, cilt.101, sa.14, 2026 (SCI-Expanded, Scopus)
This study investigates the efficiency and effectiveness of a Fuzzy Logic Adaptive Control (FLAC) system designed to regulate the TCS for longitudinal-wheel dynamics in In-Wheel Motorized Electric Vehicles (IWM-EVs), especially in challenging driving scenarios such as slippery ice roads. The FLAC system integrates a Fuzzy Logic Controller (FLC) and a Proportional-Integral (PI) controller, employing adaptive parameters based on wheel slip dynamics. Numerous controlled wheel slip models are compared through MATLAB simulations to identify the most stable and efficient approach. In addition to offline simulations, the proposed control strategy was validated through real-time Model-in-the-Loop (RT-MIL) implementation on an OPAL-RT platform to assess its performance under deterministic execution constraints. The real-time results confirm the robustness and practical feasibility of the FLAC-based traction control approach. A detailed analysis of the FLC-PI controller operations underscores its ability to dynamically adjust the torque requests to optimize the wheel slip and vehicle dynamics, further emphasizing the effectiveness of the FLAC system in enhancing vehicle control under diverse driving conditions.