Curved-path and velocity control of an autonomous guided vehicle using fuzzy logic

We develop a new algorithm for an autonomous guided vehicle (AGV) with curved-path and velocity control by applying fuzzy logic. The curved-path and velocity control of an AGV has two significant problems: (1) rotation-angle and deceleration when the AGV follows a curved-path; (2) acceleration when the AGV leaves the curved-path. In order to solve these problems, this paper presents an algorithm that enables the current AGV speed to reduce properly when it begins the curved-path, and to then rapidly recover the original speed. We verify the validity of the algorithm through simulation and show that the AGV reaches its destination without changing speed rapidly on the curved-path.