Positioning Control System on the Movement of Wheeled Humanoid Robot Using Swerve Drive Model Based on Fuzzy Logic Controller
Technology in robotics has developed rapidly in the last few decades, as evidenced by the increasing number of robots created, such as humanoid robots and mobile robots. In this study, a wheeled humanoid robot is designed to move from one place to another using a swerve drive model, a holonomic type...
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| Format: | Article |
| Language: | English |
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Universitas Syiah Kuala
2025-03-01
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| Series: | Jurnal Rekayasa Elektrika |
| Subjects: | |
| Online Access: | https://jurnal.usk.ac.id/JRE/article/view/36393 |
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| author | Caroline Harry Ahmad Rizky Amirulsyah Harmawati Hermawati Suci Dwijayanti Bhakti Yudho Suprapto |
| author_facet | Caroline Harry Ahmad Rizky Amirulsyah Harmawati Hermawati Suci Dwijayanti Bhakti Yudho Suprapto |
| author_sort | Caroline Harry |
| collection | DOAJ |
| description | Technology in robotics has developed rapidly in the last few decades, as evidenced by the increasing number of robots created, such as humanoid robots and mobile robots. In this study, a wheeled humanoid robot is designed to move from one place to another using a swerve drive model, a holonomic type of drive wheel. This model uses a combination of DC motors and gears to ensure smooth movement of the humanoid robot. The swerve drive allows the robot to move freely in all directions. Therefore, the humanoid robot requires a control system to manage and automatically regulate the state of the system. The fuzzy logic control system can perform mathematical calculations based on human knowledge, serving as a controller without requiring a mathematical model of the controlled process. The results obtained from this study demonstrate the robot’s ability to move stably and accurately, based on the response to the rules provided by the fuzzy logic control system. The more membership functions used, the more stable and accurate the results will be, while using fewer membership functions will result in faster response times to reach the setpoint. |
| format | Article |
| id | doaj-art-0f585c51aa764abe862efca3fdb04e7e |
| institution | OA Journals |
| issn | 1412-4785 2252-620X |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Universitas Syiah Kuala |
| record_format | Article |
| series | Jurnal Rekayasa Elektrika |
| spelling | doaj-art-0f585c51aa764abe862efca3fdb04e7e2025-08-20T02:09:45ZengUniversitas Syiah KualaJurnal Rekayasa Elektrika1412-47852252-620X2025-03-0121110.17529/jre.v21i1.3639320055Positioning Control System on the Movement of Wheeled Humanoid Robot Using Swerve Drive Model Based on Fuzzy Logic ControllerCaroline Harry0Ahmad Rizky Amirulsyah1Harmawati Hermawati2Suci Dwijayanti3Bhakti Yudho Suprapto4Electrical Engineering, Universitas SriwijayaStudent of Electrical Engineering, Universitas SriwijayaElectrical Engineering, Universitas SriwijayaElectrical Engineering, Universitas SriwijayaElectrical Engineering, Universitas SriwijayaTechnology in robotics has developed rapidly in the last few decades, as evidenced by the increasing number of robots created, such as humanoid robots and mobile robots. In this study, a wheeled humanoid robot is designed to move from one place to another using a swerve drive model, a holonomic type of drive wheel. This model uses a combination of DC motors and gears to ensure smooth movement of the humanoid robot. The swerve drive allows the robot to move freely in all directions. Therefore, the humanoid robot requires a control system to manage and automatically regulate the state of the system. The fuzzy logic control system can perform mathematical calculations based on human knowledge, serving as a controller without requiring a mathematical model of the controlled process. The results obtained from this study demonstrate the robot’s ability to move stably and accurately, based on the response to the rules provided by the fuzzy logic control system. The more membership functions used, the more stable and accurate the results will be, while using fewer membership functions will result in faster response times to reach the setpoint.https://jurnal.usk.ac.id/JRE/article/view/36393control systemfuzzy logic controllermobile robotpositionswerve drive |
| spellingShingle | Caroline Harry Ahmad Rizky Amirulsyah Harmawati Hermawati Suci Dwijayanti Bhakti Yudho Suprapto Positioning Control System on the Movement of Wheeled Humanoid Robot Using Swerve Drive Model Based on Fuzzy Logic Controller Jurnal Rekayasa Elektrika control system fuzzy logic controller mobile robot position swerve drive |
| title | Positioning Control System on the Movement of Wheeled Humanoid Robot Using Swerve Drive Model Based on Fuzzy Logic Controller |
| title_full | Positioning Control System on the Movement of Wheeled Humanoid Robot Using Swerve Drive Model Based on Fuzzy Logic Controller |
| title_fullStr | Positioning Control System on the Movement of Wheeled Humanoid Robot Using Swerve Drive Model Based on Fuzzy Logic Controller |
| title_full_unstemmed | Positioning Control System on the Movement of Wheeled Humanoid Robot Using Swerve Drive Model Based on Fuzzy Logic Controller |
| title_short | Positioning Control System on the Movement of Wheeled Humanoid Robot Using Swerve Drive Model Based on Fuzzy Logic Controller |
| title_sort | positioning control system on the movement of wheeled humanoid robot using swerve drive model based on fuzzy logic controller |
| topic | control system fuzzy logic controller mobile robot position swerve drive |
| url | https://jurnal.usk.ac.id/JRE/article/view/36393 |
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