Implementation of the Sugeno Fuzzy Method in a Firefighting Robot Prototype with an All-Wheel Drive System

Authors

  • Sutarmin Universitas Panca Sakti Bekasi
  • Ajar Rohmanu Universitas Panca Sakti Bekasi
  • Endang Universitas Panca Sakti Bekasi

DOI:

https://doi.org/10.35870/ijsecs.v4i3.3217

Keywords:

Robotics, Fuzzy Sugeno Method, Robot Prototype, Fire-Fighting, All-Wheel Drive System

Abstract

The purpose of this study is how to implement the Fuzzy Sugeno method to a fire-fighting robot prototype with all wheel drive system. Resculpts by transferring academic input to specific fields of knowledge, as many problems have become increasingly adaptable due to technology or the growth of AI, which is fast becoming the dominant productivity tool. Fuzzy method is a mathematical method used to overcome the problems of small uncertainties and imprecision. The first prototype of the fire-fighting robot which will be able to use all-wheel drive system is meant to mitigate the risk of large fire and to detect as soon as possible. Observational results verify that the Robot prototype follows its intended workflow as well as can complete its mission to both detect and eliminate fire hazards. The speed of the wheel is controlled on three levels slow (0 RPM), moderate (50 RPM), and fast (100 RPM) using Fuzzy Sugeno method. Also, in response time is set by using Fuzzy Sugeno method which is set to 1 second, 2 seconds, and 3 seconds

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Author Biographies

  • Sutarmin, Universitas Panca Sakti Bekasi

    Informatics Engineering Study Program, Faculty of Science and Technology, Universitas Panca Sakti Bekasi, Bekasi City, West Java Province, Indonesia

  • Ajar Rohmanu, Universitas Panca Sakti Bekasi

    Informatics Engineering Study Program, Faculty of Science and Technology, Universitas Panca Sakti Bekasi, Bekasi City, West Java Province, Indonesia

  • Endang, Universitas Panca Sakti Bekasi

    Informatics Engineering Study Program, Faculty of Science and Technology, Universitas Panca Sakti Bekasi, Bekasi City, West Java Province, Indonesia

References

Abdullah, M. S., Priatna, R. R., Abdullah, M. S., Maulana, M. I., Yusuf, M., & Rosyani, P. (2023). Robotika dalam manufaktur: Kecerdasan buatan mengantarkan otomatisasi dan kolaborasi manusia-robot ke tingkat yang nyata. Biikma Bul. Ilm. Ilmu Komput. Dan Multimed., 1(1), 29–32.

Nasution, H. (2020). Implementasi logika fuzzy pada sistem kecerdasan buatan. Elkha J. Tek. Elektro, 4(2), 4–8.

Kurniawan, A., Irawan, B. H., & Prihadi, D. (2023). Pendekatan fuzzy logic dalam perhitungan harga rental truck crane. Jurnal JTIK (Jurnal Teknologi Informasi Dan Komunikasi), 7(4), 724–733. https://doi.org/10.35870/jtik.v7i4.1759

Tundo, Sodik, Setiawan, K., & Aula, R. F. (2024). Penerapan IoT dengan algoritma fuzzy dan mikrokontroler ESP32 dalam monitoring penyiraman. Jurnal Indonesia: Manajemen Informatika Dan Komunikasi, 5(3), 2915–2924. https://doi.org/10.35870/jimik.v5i3.977

Shema, D. I. (2022). Implementasi metode logika fuzzy Sugeno pada prototipe robot pemadam api dengan kemampuan navigasi. J. Teknol. Elektro, 13(1), 55. https://doi.org/10.22441/Jte.2022.V13i1.010

Abdul Kadir, E., Syafitri, N., Dedikarni, & Dwi Fikri, T. B. (2023). Pelatihan dasar Arduino untuk robotika cerdas dengan penerapan teknologi kecerdasan buatan untuk sekolah menengah. J. Pengabdi. Masy. Dan Penerapan Ilmu Pengetah., 4(2), 22–28. https://doi.org/10.25299/Jpmpip.2023.14848

Sumiati, S., Desmira, D., & Sasongko, S. (2017). Prototype robot pemadam api menggunakan fuzzy inference systems berbasis mikrokontroler AVR Atmega328. Ethos (Jurnal Penelit. Dan Pengabdian), 5(2), 186. https://doi.org/10.29313/Ethos.V5i2.2360

Mahasiswa, D. D. A. N., Panca, U., & Bekasi, S. (2024). Panduan penelitian bersama dosen dan mahasiswa. No. 54.

I.-M. S. Diskrit, & Undefined (2009). Pembuatan robot sebagai aplikasi kecerdasan buatan. Informatika.Stei.Itb.Ac.Id, 4(2), 2012

Darmanto, I. A. (2020). Inovasi sistem robotika pada perpustakaan. Jeecom J. Electr. Eng. Comput., 2(2), 13–16. https://doi.org/10.33650/Jeecom.V2i2.1185

Hartono, R., & Firdaus, G. A. (2018). Implementation of intelligent fire extinguisher robots with multi-independent steering. Telekontran J. Ilm. Telekomun. Kendali Dan Elektron. Terap., 6(2), 35–46. https://doi.org/10.34010/Telekontran.V6i2.3798

Widiantama, O. (2017). Pengembangan trainer sistem kendali kecepatan motor DC sebagai media pembelajaran praktik robotika. E-Journal Univ. Negeri Yogyakarta, 7(2), 188–196.

Syariah, K. B., & Ilmu, G. (2016). Rancang bangun robot pengambil objek bawah air. No. September, 1–6.

Dewi, A. O. P. (2020). Kecerdasan buatan sebagai konsep baru pada perpustakaan. Anuva J. Kaji. Budaya, Perpustakaan, Dan Inf., 4(4), 453–460. https://doi.org/10.14710/Anuva.4.4.453-460

Safarudin, M., & Patah, A. (2020). Pengembangan purwarupa robot pemadam api dengan kendali berbasis mikrokontroler. Isu Teknol. Stt Mandala, 15(2), 92–98.

Vafamand, N. (2020). Global non-quadratic Lyapunov-based stabilization of T–S fuzzy systems: A descriptor approach. Journal of Vibration and Control, 26(19-20), 1765–1778. https://doi.org/10.1177/1077546320904817

Chiu, C., & Peng, Y. (2019). Design of Takagi-Sugeno fuzzy control scheme for real-world system control. Sustainability, 11(14), 3855. https://doi.org/10.3390/su11143855

Aji, B. (2023). Fuzzy logic algorithm of Sugeno method for controlling line follower mobile robot. Ilkom Jurnal Ilmiah, 15(2), 283–289. https://doi.org/10.33096/ilkom.v15i2.1558.283-289

Sofyan, Y., Ihsan, M., & Fitriani, S. (2023). Pengontrolan robot bulu tangkis menggunakan mikrokontroler Atmega128 berbasis Android mobile. J. Comput. Syst. Informatics, 4(3), 501–510. https://doi.org/10.47065/Josyc.V4i3.3527

Chiu, C., Hung, Y., & Peng, Y. (2021). Design of a decoupling fuzzy control scheme for omnidirectional inverted pendulum real-world control. IEEE Access, 9, 26083-26092. https://doi.org/10.1109/access.2021.3057658

Nikmah, Y. M. (2022). Implementasi program ekstrakurikuler robotika dalam meningkatkan kreativitas siswa di MI Progresif Bumi Shalawat Tulangan Sidoarjo (Undergraduate thesis, Universitas Islam Negeri Sunan Ampel Surabaya).

Enemegio, R., Jurado, F., & Villanueva-Tavira, J. (2024). Experimental Evaluation of a Takagi–Sugeno Fuzzy Controller for an EV3 Ballbot System. Applied Sciences, 14(10), 4103. https://doi.org/10.20944/preprints202312.0558.v1

Beyhan, S., Lendek, Z., Babuska, R., Wisse, M., & Alci, M. (2011). Adaptive fuzzy and sliding-mode control of a robot manipulator with varying payload. https://doi.org/10.1109/cdc.2011.6160802

Morsy, H., El-Khatib, M., Hussein, W., & Mahgoub, M. (2012). Investigation of modern control algorithms in mechatronic systems. The International Conference on Applied Mechanics and Mechanical Engineering, 15(15), 1-20. https://doi.org/10.21608/amme.2012.37057.

Adamu, E., Afolayan, M., Umaru, S., & Garba, D. (2018). The modelling and control of the drive system of an Ackermann robot using GA optimization. Nigerian Journal of Technology, 37(4), 1008. https://doi.org/10.4314/njt.v37i4.21

Aguilar, A., Pérez-Patricio, M., Camas, J., Hernandez, H., & Ríos, C. (2014). Efficient design and implementation of a multivariate Takagi-Sugeno fuzzy controller on an FPGA. https://doi.org/10.1109/icmeae.2014.8

Zhang, J., Wang, X., & Shao, X. (2020). Design and real-time implementation of Takagi–Sugeno fuzzy controller for magnetic levitation ball system. IEEE Access, 8, 38221-38228. https://doi.org/10.1109/access.2020.2971631.

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Published

2024-12-01

Issue

Vol. 4 No. 3 (2024): DECEMBER 2024

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Copyright (c) 2024 Sutarmin, Ajar Rohmanu, Endang

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How to Cite

Sutarmin, Rohmanu, A., & Endang. (2024). Implementation of the Sugeno Fuzzy Method in a Firefighting Robot Prototype with an All-Wheel Drive System. International Journal Software Engineering and Computer Science (IJSECS), 4(3), 953-964. https://doi.org/10.35870/ijsecs.v4i3.3217