Fuzzy Logic based Automatic steering control for Z-path navigation in EV

Automated steering systems or automated lateral control are crucial for the advancement of electric vehicles (EVs), particularly in the navigation of complex paths. This research focuses on automating the steering system for Z-path navigation using fuzzy logic. The key input for the system is steering intention, while the outputs are steering angle, drive left (DL), drive right (DR), relay state, and relay timing. Using a fuzzy inference system with defined rules and membership functions, the study addresses the complexities of nonlinear path navigation, specifically focusing on Z-path navigation. The results demonstrate that the fuzzy logic controller effectively manages steering angles, relay timing, and path execution, achieving smooth and accurate Z-path navigation. This study underscores the potential of fuzzy logic controllers in enhancing automated steering systems for electric vehicles, providing a robust solution for nonlinear path navigation, and addressing the limitations of conventional steering mechanisms.