Position Control of the DC Motor for Autonomous Valet Parking using a Fuzzy Logic Controller

Abstract

This study suggests DC motor position control, an interesting control that most manufacturers are interested in. A number of applications use it, but autonomous valet parking is the most prominent. A fuzzy logic controller, a type of artificial intelligence controller, is used to implement this control. Prior to being implemented in LabVIEW software and QNET 2.0 DC motor hardware, it was first simulated in the MATLAB/SIMULINK environment. This controller's simulation feature helps get a favorable result without really harming the material. The same simulated outcome was obtained when this controller was experimented with on a QNET 2.0 DC motor using LabVIEW software. This environment is used to visualize the system's response or outcomes using virtual tools. The system responds quickly and effectively receives the order; there is no overshoot, peak time, or settling time.