Design of Automatic Braking System Using Interval Type-2 Fuzzy Logic System

Abstract

The car braking system is a very important part of car safety. The effectiveness of Conventional braking system is strongly influenced by the ability and the driver's experience. It is very vulnerable to accidents if the driver fails to operate the braking system. Because of that, an automation of the braking system is needed that can decrease the accident's impact. The Automatic braking systems require the reasoning to manage information before making a decision that brakes or slows down. There is uncertainty in determining membership function of distance and velocity. It is difficult to determine an exact membership function. In this paper, the system used Interval type-2 fuzzy logic control that can work well in an unstructured environment and have the ability to overcome the uncertainty of information. The result is that the pressure on the brake pads is gradually increased with an average increase of 5.6%. At a distance of 34 m, the pressure is at maximum value.

An intelligent contactless brake blending system with advanced driver assistance technique for electric vehicles

“…An automatic braking system comprises of two inputs and one output using interval type two fuzzy logic system. It has speed and distance as input data, while the output is correlated with the brake pedal force (Setiady et al , 2019). Similarly, Basjaruddin et al (2016) proposed a fuzzy model for an automated braking system using the speed of vehicle and the distance of obstacle.…”