Adaptive Speed Control for Autonomous Mobile Robot using Fuzzy Logic Controller

This paper deals with the development of an adaptive speed
controller for autonomous mobile robot using a fuzzy logic controller.The
analysis of performance between a system applying triangular membership
and a system using gaussian membership is compared to distinguish
their differences. The results have shown that the gaussian membership
method has improved the tracking performance for the mobile robot to
reach its target. This also suggest the same behavior even when a different
mobile robot movements is assigned. This paper considers three,
five and seven memberships for both techniques to determine their effectiveness
and effects to the system performance. The investigation has
leads to the conclusion that the gaussian membership has competently
surpassed the triangular membership performances even when the robot
has different movements to achieve its target.