Utilizing fuzzy logic to create a prototype robot for load detection
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Published:
Feb 28, 2024
Keywords:
Arduino Uno, Fuzzy Logic, Load Lifting, Robot Performance
Section
Computer Science
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Abstract
The application of fuzzy logic in a load-lifting arm robot is covered in this work. Input values are computed using fuzzy logic to prevent inappropriate power usage caused by variations in load weight. The robot's ability to successfully lift the load is the performance that is being evaluated. To choose the motor rotation, the system should calculate the mass of the load. System design is done with an Arduino Uno. For pinching and driving levers, servo motors are used. A mass sensor is used to estimate the mass of the load. Robot construction limits the load to a maximum weight of 900 grams in order to assess robot performance. The findings demonstrate that using Tsukamoto's fuzzy logic model improves accuracy outcomes when determining the degree of slope servo
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How to Cite
Furqon Siregar, M. . and Imam, C. . (2024) “Utilizing fuzzy logic to create a prototype robot for load detection”, Jurnal Mantik, 7(4), pp. 3807-3815. doi: 10.35335/mantik.v7i4.4876.
References
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Rabb, A. F., & Hidayat, R. (2023). Perancangan Pintu Otomatis Menggunakan Sensor Pir Berbasis Arduino. Jurnal Ilmiah Wahana Pendidikan, 9(14), 1–9.
Tavakoli, P., & Karimpour, A. (2021). A New Approach Based on Fuzzy-Adaptive Structure & Parameter Learning Applied in Meta-Cognitive Algorithm for ANFIS.
Todorovic, M., & Simic, M. (2020). Computational intelligence and automated methods for control fuzzy system design. IEEE International Conference on Fuzzy Systems, 2020-July, 0–5. https://doi.org/10.1109/FUZZ48607.2020.9177550
Y.M Bate, P., Wiguna, A. S., & Nugraha, D. A. (2020). Sistem Penjemuran Otomatis Menggunakan Arduino Uno R3 Dengan Pendekatan Metode Fuzzy. Kurawal - Jurnal Teknologi, Informasi Dan Industri, 3(1), 81–92. https://doi.org/10.33479/kurawal.v3i1.306
Zulkifli, S. A., Tan, M. F. M. F., & Yusof, M. J. M. (2020). Study on Power Converters Control in Hardware System Using Low Cost Microcontroller. 2020 IEEE Student Conference on Research and Development, SCOReD 2020, September, 401–405. https://doi.org/10.1109/ SCOReD50371.2020.9251039
Chen, R., Zhai, W., & Qi, Y. (1996). Mechanism and technique of friction control by applying electric voltage. (II) Effects of applied voltage on friction. Mocaxue Xuebao/Tribology, 16(3), 235–238.
Cherniy, S. P., Buzikayeva, A. V., & Gudim, A. S. (2019). A Model of Multi-Cascade Fuzzy Logic Controller Implemented Using Different Variations of Inference Algorithms. 2019 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2019, 15–18. https://doi.org/10.1109/FarEastCon.2019.8934872.
Dzar Faraby, M., Ishak, I., Ishak, I., Rukiah, R., Rukiah, R., Setiawan, S., & Setiawan, S. (2016). Prototype Pengontrolan Pintu Otomatis Menggunakan Arduino Berbasis Android. JTT (Jurnal Teknologi Terapan), 2(2), 32–39. https://doi.org/10.31884/jtt.v2i2.17
Furqon., (2022). Design of Automatic Hand Washing System Using Solenoid Valve Based on. Furqon, 10(3), 20–25.
Furqon Siregar, Muhammad Imam, C., & Nasution, A. (2020). Pemanfaatan Solenoid Valve Dan Sensor Hc-Sr04 Sebagai Pencuci Tangan Otomatis. 07, 65–71.
Gencer, A. (2019). Analysis of Speed/Position Controller Based on Several Types of a Fuzzy Logic for Travelling Wave Ultrasonic Motor. Proceedings - 2019 IEEE 1st Global Power, Energy and Communication Conference, GPECOM 2019, 170–174. https://doi.org/10.1109/GPECOM. 2019.8778619
Kabir, M. (2021). Fuzzy membership function design?: An adaptive neuro-fuzzy inference system ( ANFIS ) based approach. 1–5.
Kamide, N. (2020). Sequential Fuzzy Description Logic: Reasoning for Fuzzy Knowledge Bases with Sequential Information. Proceedings of The International Symposium on Multiple-Valued Logic, 2020-Novem, 218–223. https://doi.org/10.1109/ISMVL49045.2020.000-2
Kerk, Y. W., Tay, K. M., & Lim, C. P. (2021). Monotone Fuzzy Rule Interpolation for Practical Modelling of the Zero-Order TSK Fuzzy Inference System. 6706(2). https://doi.org/10.1109/ TFUZZ.2021.3057239
Kevin, M. (2020). JTEV (JURNAL TEKNIK ELEKTRO DAN VOKASIONAL) Sistem Pengendali Tegangan Berbasis Mikrokontroler Arduino UNO. 06(01), 134–144. http://ejournal.unp.ac.id/index.php /jtev/index
Ledeneva, T. (2020). Special Aspects of the Design of Fuzzy Inference Mechanism.
Lestari, A., & Candra, O. (2021). Prototype Sistem Pensortir Barang di Industri Menggunakan Loadcell berbasis Arduino Uno. JTEV (Jurnal Teknik Elektro Dan Vokasional), 7(1), 27. https://doi.org/10.24036/jtev.v7i1.111504
Lubis, Z., Lungguk, A., Saputra, N., Winata, S., Annisa, A., Muhazzir, B., Satria, M., & Sri, W. (2019). Kontrol Mesin Air Otomatis Berbasis Arduino Dengan Smartphone. Cetak) Buletin Utama Teknik, 14(3), 1410–4520.
Orlando, E., & Chandra, Y. I. (2022). Penerapan Metode Prototype Dalam Membuat Alat Penyiraman Tanaman Otomatis Berbasis Mikrokontroler Arduino Uno. Tekinfo: Jurnal Bidang Teknik Industri Dan Teknik Informatika, 23(2), 9–23. https://doi.org/10.37817/tekinfo.v23i2.2593
Pekaslan, D., Member, S., Wagner, C., Member, S., & Garibaldi Senior Member, J. M. (2020). IEEE TRANSACTIONS ON FUZZY SYSTEMS 1 ADONiS-Adaptive Online Non-Singleton Fuzzy Logic Systems. 1–10.
Pratama, A., Andani, S. R., & Wanto, A. (2021). Penerapan Mikrokontroler Arduino Uno pada Desain Perancangan Sistem Ayunan Bayi Otomatis. Journal of Informatics …, 1(3), 108–114. http://www.hostjournals.com/jimat/article/view/113
Shobari, I., Putra, I. M., Sulistyo, J. B., & ... (2021). Implementasi Mikrokontroler Berbasis Arduino Sebagai Kunci (Dongle) Aplikasi Perangkat Lunak. PRIMA-Aplikasi Dan Rekayasa Dalam Bidang Iptek Nuklir, 18, 29–38. http://jurnal.batan.go.id/index.php/prima/article/view/6519%0A https://jurnal.batan.go.id/index.php/prima/article/download/6519/5675
Siregar, M. F., & Chairul Imam. (2022). Application of the Fuzzy Logic Method in Determining the Volume of Water Discharge to the Number of Humans Based on a Microcontroller. Journal of Science Technology (JoSTec), 4(1), 187–192. https://doi.org/10.55299/jostec.v4i1.260
Soeharwinto, Agrath, S., Pane, Z., & Nasution, T. H. (2019). Benchmarking of Wireless Microcontroller-based Three Phase Multi Meter with Industrial Standard Instrument. 2019 3rd International Conference on Electrical, Telecommunication and Computer Engineering, ELTICOM 2019 - Proceedings, 98–101. https://doi.org/10.1109/ELTICOM47379.2019.8943844
Rabb, A. F., & Hidayat, R. (2023). Perancangan Pintu Otomatis Menggunakan Sensor Pir Berbasis Arduino. Jurnal Ilmiah Wahana Pendidikan, 9(14), 1–9.
Tavakoli, P., & Karimpour, A. (2021). A New Approach Based on Fuzzy-Adaptive Structure & Parameter Learning Applied in Meta-Cognitive Algorithm for ANFIS.
Todorovic, M., & Simic, M. (2020). Computational intelligence and automated methods for control fuzzy system design. IEEE International Conference on Fuzzy Systems, 2020-July, 0–5. https://doi.org/10.1109/FUZZ48607.2020.9177550
Y.M Bate, P., Wiguna, A. S., & Nugraha, D. A. (2020). Sistem Penjemuran Otomatis Menggunakan Arduino Uno R3 Dengan Pendekatan Metode Fuzzy. Kurawal - Jurnal Teknologi, Informasi Dan Industri, 3(1), 81–92. https://doi.org/10.33479/kurawal.v3i1.306
Zulkifli, S. A., Tan, M. F. M. F., & Yusof, M. J. M. (2020). Study on Power Converters Control in Hardware System Using Low Cost Microcontroller. 2020 IEEE Student Conference on Research and Development, SCOReD 2020, September, 401–405. https://doi.org/10.1109/ SCOReD50371.2020.9251039
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