Open AccessStability Of Line Follower Robots With Fuzzy Logic and Kalman Filter Methods
Author(s) -
Ali Sanjaya,
Herman Mawengkang,
Syahril Efendi,
Muhammad Zarlis
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1361/1/012016
Subject(s) - kalman filter , control theory (sociology) , robot , accelerometer , gyroscope , fuzzy logic , computer science , mobile robot , line (geometry) , noise (video) , filter (signal processing) , control engineering , engineering , artificial intelligence , control (management) , computer vision , mathematics , geometry , image (mathematics) , aerospace engineering , operating system
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.