Fuzzy Logic Algorithm of Sugeno Method for Controlling Line Follower Mobile Robot


Bayu Aji(1); Sutikno Sutikno(2*);

(1) Universitas Diponegoro
(2) Universitas Diponegoro
(*) Corresponding Author

  

Abstract


The industrial world has been increasingly using robots for production purposes. One type of robot used is a line follower robot for the purposes of transportation of production materials. Various researches and competitions of line follower robots were held to improve its performance. This study proposed a fuzzy logic algorithm using Sugeno method for a line follower mobile robot. This algorithm received input from the readings of 8 sensors mounted on the bottom of the robot and generated the speed of each left and right motor. This speed was used to keep the robot on track. The performance of this algorithm was compared with the fuzzy logic algorithm of the Mamdani method. The proposed fuzzy logic algorithm was better in terms of speed. The results of this study can be used as material to study the application of fuzzy logic algorithm in real time.

Keywords


Fuzzy Logic Control; Line Follower; Mobile Robot; Sugeno Method

  
  

Full Text:

PDF
  

Article Metrics

Abstract view: 113 times
PDF view: 101 times 		     

Digital Object Identifier

doi  https://doi.org/10.33096/ilkom.v15i2.1558.283-289 		  

Cite

How to cite item

References


L. Hacker, “Robotics in Education: ROBOLAB and robotic technology As tools for …,” 2003. [Online]. Available: http://ase.tufts.edu/roboticsacademy/Theses/LauraHacker03.pdf%5Cnpapers2://publication/uuid/DE21ABA5-1C05-42BE-8151-A6B30F091B3A.

K. Rishabh, “Design of autonomous line follower robot with obstacle avoidance,” Int. J. Adv. Res. Ideas Innov. Technol., vol. 7, no. 3, pp. 715–720, 2021, doi: 10.13140/RG.2.2.11652.86403.

V. Barua et al., “An Ultrasonic Line Follower Robot to Detect Obstacles and Edges for Industrial and Rescue Operations,” Int. J. Comput. Appl., vol. 176, no. 31, pp. 31–37, 2020, doi: 10.5120/ijca2020920364.

F. Sanofel, “Perancangan Konfigurasi Sistem Robot Line Follower Pemantau Kondisi Jalan,” Epic J. Electr. Power, Instrum. Control, vol. 2, no. 2, pp. 1–10, 2019, doi: 10.32493/epic.v2i2.2964.

A. Latif, H. A. Widodo, R. Rahim, and K. Kunal, “Implementation of line follower robot based microcontroller atmega32a,” J. Robot. Control, vol. 1, no. 2, pp. 70–74, 2020, doi: 10.18196/jrc.1316.

N. Sany, D. Sugiarto, and N. Hikmah, “Prototype Robot Penunjuk Lokasi Bidang Buku Berbasis Line Follower Perpustakaan Tangerang,” Innov. Creat. Inf. Technol., vol. 5, no. 1, pp. 50–57, 2019, doi: 10.33050/icit.v5i1.102.

H. Miftahul, F. Firdaus, and D. Derisma, “Pengontrolan Kecepatan Mobile Robot Line Follower Dengan Sistem Kendali PID,” TELKA - Telekomun. Elektron. Komputasi dan Kontrol, vol. 2, no. 2, pp. 150–159, 2016, doi: 10.15575/telka.v2n2.150-159.

M. Alwan, A. Green, A. Noori, and A. Aldair, “Design and Implementation of Line Follower Arduino Mobile Robot Using Matlab Simulink Toolbox,” Iraqi J. Electr. Electron. Eng., vol. 17, no. 2, pp. 11–16, 2021, doi: 10.37917/ijeee.17.2.2.

U. Farooq, M. Amar, M. Usman Asad, G. Abbas, and A. Hanif, “Fuzzy Logic Reasoning System for Line Following Robot,” Int. J. Eng. Technol., vol. 6, no. 4, pp. 244–248, 2014, doi: 10.7763/ijet.2014.v6.705.

A. Wajiansyah, S. Supriadi, S. Nur, and A. B. Wicaksono P, “Implementasi Fuzzy Logic Pada Robot Line Follower,” J. Teknol. Inf. dan Ilmu Komput., vol. 5, no. 4, pp. 395–402, 2018, doi: 10.25126/jtiik.201854747.

M. Mukaromah, “Penerapan Metode Fuzzy Sugeno Untuk Menentukan Jalur Terbaik Menuju Lokasi Wisata,” J. Mat. Sains, dan Teknol., vol. 20, no. 2, pp. 95–101, 2019.

C. A. Oktavia, “Penerapan logika fuzzy sugeno untuk penentuan reward pada game edukasi aku bisa,” JUTI J. Ilm. Teknol. Inf., vol. 17, no. 2, pp. 117–124, 2019.

D. P. P. Astuti and Mashuri, “Penerapan Metode Fuzzy Tsukamoto Dan Fuzzy Sugeno Dalam Penentuan Harga Jual Sepeda Motor,” Unnes J. Math., vol. 9, no. 2, pp. 74–78, 2020.

A. H. Agustin, G. K. Gandhiadi, and T. B. Oka, “Penerapan Metode Fuzzy Sugeno Untuk Menentukan Harga Jual Sepeda Motor Bekas,” E-Jurnal Mat., vol. 5, no. 4, pp. 176–182, 2016.

L. Rohimah, S. Rukiastiandari, and J. Siregar, “Penerapan Logika Fuzzy Metode Sugeno Untuk Optimalisasi Nilai Ekspor Ikan Tuna Hs 160414 Ke Italia,” J. Tek. Komput. AMIK BSI, vol. 6, no. 1, pp. 31–36, 2020, doi: 10.31294/jtk.v4i2.

S. A. Siallagan and W. Sahara, “Penerapan Fuzzy Sugeno dalam Usaha Roti Ketawa,” Kesatria J. Penerapan Sist. Inf. (Komputer dan Manajemen), vol. 1, no. 2, pp. 73–76, 2020.

D. L. Rahakbauw, “Penerapan Logika Fuzzy Metode Sugeno Berdasarkan Data Persediaan Dan Jumlah Permintaan ( Studi Kasus : Pabrik Roti Sarinda Ambon ),” J. Ilmu Mat. dan Terap., vol. 9, no. 2, pp. 121–134, 2015.

D. Syahputra and Muhathir, “Perhitungan Metode Fuzzy Sugeno Dan Antropometri Dalam Memprediksi Status Gizi Indeks Massa Tubuh,” J. Informatics Telecommun. Eng., vol. 2, no. 1, pp. 16–22, 2018.


Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Bayu Aji, Sutikno

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.