Fuzzy Logic-Driven Throttle Adjustment for Z-Path Navigation in Electric Vehicles

Automated throttle control plays a vital role in the future development of electric vehicles, especially when it comes to navigating tricky roads. This research focuses on automating the throttle system for Z-path navigation using fuzzy logic. The system takes the desired throttle position as input and uses it to control the vehicle’s speed and state. Through a fuzzy logic system, which applies specific rules and functions, the study tackles the challenge of navigating non-linear paths, particularly Z paths. The results show that the fuzzy logic controller is able to manage throttle position, speed, and path navigation effectively, leading to smooth and accurate Z-path maneuvers. This work tells us how fuzzy logic controllers can improve automated throttle systems in electric vehicles and also provides a reliable solution to complex navigation and overcome the limitations of traditional throttle mechanisms.