Implementation of Fuzzy Logic as Steering Control on Hardware In the Loop Autonomous Electric Car
Abstract
A car is a necessity and a means of transportation that makes it easy to travel. Many types and products of cars have been developed now, one of which is electric cars because fossil fuels have started to deplete in availability. The next development is an autonomous electric car. However, autonomous control systems such as steering and speed control are complex and difficult tasks that require optimal, precise, and robust control systems. Therefore, in this paper, a control system using the fuzzy logic method is developed by utilizing input from the Ultrasonic sensor. This sensor is capable of detecting objects with the farthest distance of 10 meters and crunching 0.3 meters. The output of this control system is the degree of rotation of the steer on the Hardware In The Loop which can turn to avoid the object being detected. Based on this system test, the accuracy of the degree of rotation of the steer is 5 and the maximum rotation is 30 , while the top speed of the rear wheels is 15 km / h. The steering system on the Hardware In The Loop has pretty good accuracy to improve smoothness when turning.
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