Trajectories and Payload Oscillations Data of Tower Crane Systems with varied Payload Masses, Shapes, and Cable Lengths for Machine Learning-Based Control, System Identification, and Industrial Automation
Published: 16 May 2025| Version 2 | DOI: 10.17632/x69hyyv3zw.2
Contributors:
, Syed Muhammad Umair Arif, , , , Description
The dataset contains trajectories and payload oscillations of tower crane under four primary operations, namely, trolley motion (TM), jib rotation (JR), payload hoisting (PH), and the simultaneous TM, JR, and PH. As the changes in cable length significantly affect the natural frequency of the crane, numerous data were recorded for different cable lengths ranging from 0.1 to 0.8m. In addition, various shapes and sizes of the payload were considered to provide a comprehensive practical representation of the crane operations. The dataset contains 33 operating scenarios, and each experiment was conducted for 99 seconds and sampled at 0.01 seconds.
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Institutions
- Nazarbayev University
Categories
Industrial Automation, Crane, Database, Automatic Control, Automated Machine Learning