Stability Of Line Follower Robots With Fuzzy Logic and Kalman Filter Methods

Abstract

Abstract Line Follower Robot is a wheeled robot that has two wheels on the right side and two on the left side that can follow the line automatically. The robot is designed to navigate and move automatically following a line made and this robot should be able to maintain its stability. This line follower robot uses fuzzy logic method with accelerometer and gyroscope. To gain a good noiceless accelerometer response, Kalman filter is used. Kalman filter can minimize the error of the box in the noice sensitive control and level of noise in sensor before entering the control system. The results shows that robots are succesfully balances then selves, though interruped.