SIMULATION OF FUZZY LOGIC CONTROLLER AS DIRECTION ADJUSTMENT FOR LINE FOLLOWING ROBOT
DOI:
https://doi.org/10.23960/jitet.v12i3S1.4590Abstract Views: 402 File Views: 386
Abstract
Line Follower is a robot that follows a line, and in it there is an Integrated Circuit that contains programming to run it. In this experiment, the line follower using fuzzy logic control provides another alternative in the control system. In fuzzy logic control, there is no need for a mathematical model of the system because fuzzy logic control works based on rules. The designed control is a one input, two output system and uses the Mamdani system as an inference mechanism. The output error in the program will increase when the robot turns to follow the trajectory, the error can occur due to the calculation of the membership function input and rules as a determinant of robot action when detecting the trajectory in front of it. Therefore, in this line follower experiment, the rule will be a reference in processing the input value of the distance and speed of the right and left motors, the rule also determines the direction of the robot using the help of a camera sensor.Downloads
References
Sulistiyo, W., 2009, Desain dan Rancang Bangun Mobil Robot Penjejak Jalur dengan Algoritma Fuzzy, Orbith, No. 3, Vol. 5, hal. 431-439.
Dwisaputra, I., Sulistijono, I. A., Nugraha, M. I., 2011, Two Wheels Balancing Line Tracer Robot Using Fuzzy Logic Control, The 13th Industrial Electronics Seminar 2011 (IES 2011), Electronic Engineering Polytechnic Institute of Surabaya (EEPIS), Surabaya, October 26 2011.[2]
H. Junaedi, “RANCANG BANGUN ROBOT LINE FOLLOWER BERBASIS CAHAYA TAMPAK (BAGIAN I) TUGAS AKHIR,” 2016. Accessed: Jun. 20, 2024.
Farooq, U., Amar, M., Asad, M. U., Abbas, G., Hanif, A., 2014, Fuzzy Logic Reasoning System for Line Following Robot, IACSIT International Journal of Engineering and Technology, No. 4, Vol. 6, Hal. 244-248. [4]
Pratama, G. N. P, Dharmawan, A., Atmaji, C., 2014, Implementasi Kendali Logika Fuzzy Pada Robot Line Follower, Indonesian journal of Electronics and Instrumentations Systems (IJEIS), Jurnal Universitas Gadjah Mada , April 2014. [5]
David, D., 2016, Kendali Logika Fuzzy Pada Robot Line Follower, Creative Information Technology Journal, Researchgate, Januari 2016. [6]
Sivanandam, S.N., Sumathi S., dan Deepa S.N., 2007, Introduction to Fuzzy Logic using MATLAB, Springer-Verlag, Berlin. [7]
R. J. Boncella, “Fuzzy Logic: An Introduction,” Jan. 1995.
Solikin, F., 2011, Aplikasi Logika Fuzzy dalam Optimisasi Produksi Barang menggunakan Metode Mamdani dan Metode Sugeno, Skripsi, Jurusan Pendidikan Matematika, UNY, Yogyakarta. [9]
Ismail, A.H.,, Ahmad, M.H., Marhaban M.H., Vision-based for Line Following Mobile Robot, Symposium on Industrial Electronics and Applications, Ieee xplore, October 4-6 2009. [10]
Pakdaman, M., Sanaatiyan, M.M., 2009, Design and Implementation of Line follower Robot, Ieee xplore. [11]
H. Junaedi, “RANCANG BANGUN ROBOT LINE FOLLOWER BERBASIS CAHAYA TAMPAK (BAGIAN I) TUGAS AKHIR,” 2016. Accessed: Jun. 20, 2024.
K. Luh et al., “Analisis Pengaruh Pemilihan Fuzzy Membership Function Terhadap Output Sebuah Sistem Fuzzy Logic.” Accessed: Jun. 20, 2024.
Lorenza, A., Hidayat, B., Alia, L. S., Nurachanta, L. A., Simulasi Pemahaman Robot Pengikut Garis Program C dengan Webots, Institute of Research and Publication Indonesia, Juni 1 2022.
Ishikawa, S., Kuwamoto, H. and Ozawa, S, “Visual Navigation of an Autonomous Vehicle Using White Line Recognition”, IEEE Transaction on Pattern Analysis and Machine Intelligent, Vol. 10:5, Sept 1988, pp. 743-749
