Velocity Control for an Autonomous Vehicle: Classic and Fuzzy Control

E.M. Ovalle, R. Soto, and S. Conant (Mexico)


Fuzzy Logic Control, Feedback Control, Advance Control Strategies, Identification, Nonlinear Systems, Robotics


Nowadays there are many increasing applications of au tonomous guided vehicles (AGV) and wheeled mobile robots (WMR) to help humanity. Velocity control is an ap plication in the branch of autonomous vehicles. This paper presents a brief comparison between fuzzy and classic con trol applied over a wheeled mobile robot, i.e., left wheel (LVC) and right wheel (RVC) velocity control. Compar isons’ performance parameters include: overshoot, dead time, and execution time.

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