Comprehensive tower crane dynamics: An experimental dataset of trajectories and payload oscillations for system identification and machine learning-based controlMendeley Data
Cranes play a significant role in transporting goods from one point to another in construction sites, factories, shipping yards, and mining sites. The main control objective of the cranes is to effectively convey the goods, including chemicals and sensitive materials, as quickly as possible without...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-08-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925005499 |
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| author | Ahmad Bala Alhassan Syed Muhammad Umair Arif Auwal Haruna Kulash Talapiden Muhammad Auwal Shehu Ton Duc Do |
| author_facet | Ahmad Bala Alhassan Syed Muhammad Umair Arif Auwal Haruna Kulash Talapiden Muhammad Auwal Shehu Ton Duc Do |
| author_sort | Ahmad Bala Alhassan |
| collection | DOAJ |
| description | Cranes play a significant role in transporting goods from one point to another in construction sites, factories, shipping yards, and mining sites. The main control objective of the cranes is to effectively convey the goods, including chemicals and sensitive materials, as quickly as possible without persistent oscillations. However, the trolley positioning and payload oscillation control have been challenging due to the flexibility of the cable carrying the goods and the nature of the cranes, particularly the rotation of tower cranes. This dataset provides trajectories and the corresponding payload oscillations for tower cranes using a laboratory-scaled setup, which covers the possible operating scenarios of the crane, including tower rotation, changing trolley trajectories, different payload mass and shapes, varying cable lengths, and payload hoisting. This data provides a valuable resource for understanding the dynamic behaviour of tower cranes and to train machine learning-based approaches for efficient control and automation of the cranes. |
| format | Article |
| id | doaj-art-66da2edfe48144a0826abfa91e4ea398 |
| institution | Kabale University |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-66da2edfe48144a0826abfa91e4ea3982025-08-20T03:42:53ZengElsevierData in Brief2352-34092025-08-016111182210.1016/j.dib.2025.111822Comprehensive tower crane dynamics: An experimental dataset of trajectories and payload oscillations for system identification and machine learning-based controlMendeley DataAhmad Bala Alhassan0Syed Muhammad Umair Arif1Auwal Haruna2Kulash Talapiden3Muhammad Auwal Shehu4Ton Duc Do5Department of Robotics and Mechatronics, School of Engineering and Digital Sciences, Nazarbayev University, Astana 010000, KazakhstanDepartment of Computer Science, School of Engineering and Digital Sciences, Nazarbayev University, Astana 010000, KazakhstanSchool of Aeronautics, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, PR ChinaDepartment of Robotics and Mechatronics, School of Engineering and Digital Sciences, Nazarbayev University, Astana 010000, KazakhstanDepartment of Robotics and Mechatronics, School of Engineering and Digital Sciences, Nazarbayev University, Astana 010000, KazakhstanDepartment of Robotics and Mechatronics, School of Engineering and Digital Sciences, Nazarbayev University, Astana 010000, Kazakhstan; Corresponding author.Cranes play a significant role in transporting goods from one point to another in construction sites, factories, shipping yards, and mining sites. The main control objective of the cranes is to effectively convey the goods, including chemicals and sensitive materials, as quickly as possible without persistent oscillations. However, the trolley positioning and payload oscillation control have been challenging due to the flexibility of the cable carrying the goods and the nature of the cranes, particularly the rotation of tower cranes. This dataset provides trajectories and the corresponding payload oscillations for tower cranes using a laboratory-scaled setup, which covers the possible operating scenarios of the crane, including tower rotation, changing trolley trajectories, different payload mass and shapes, varying cable lengths, and payload hoisting. This data provides a valuable resource for understanding the dynamic behaviour of tower cranes and to train machine learning-based approaches for efficient control and automation of the cranes.http://www.sciencedirect.com/science/article/pii/S2352340925005499Anti-sway controlCranesIndustrial automationReal-time control systemsTraining data |
| spellingShingle | Ahmad Bala Alhassan Syed Muhammad Umair Arif Auwal Haruna Kulash Talapiden Muhammad Auwal Shehu Ton Duc Do Comprehensive tower crane dynamics: An experimental dataset of trajectories and payload oscillations for system identification and machine learning-based controlMendeley Data Data in Brief Anti-sway control Cranes Industrial automation Real-time control systems Training data |
| title | Comprehensive tower crane dynamics: An experimental dataset of trajectories and payload oscillations for system identification and machine learning-based controlMendeley Data |
| title_full | Comprehensive tower crane dynamics: An experimental dataset of trajectories and payload oscillations for system identification and machine learning-based controlMendeley Data |
| title_fullStr | Comprehensive tower crane dynamics: An experimental dataset of trajectories and payload oscillations for system identification and machine learning-based controlMendeley Data |
| title_full_unstemmed | Comprehensive tower crane dynamics: An experimental dataset of trajectories and payload oscillations for system identification and machine learning-based controlMendeley Data |
| title_short | Comprehensive tower crane dynamics: An experimental dataset of trajectories and payload oscillations for system identification and machine learning-based controlMendeley Data |
| title_sort | comprehensive tower crane dynamics an experimental dataset of trajectories and payload oscillations for system identification and machine learning based controlmendeley data |
| topic | Anti-sway control Cranes Industrial automation Real-time control systems Training data |
| url | http://www.sciencedirect.com/science/article/pii/S2352340925005499 |
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