JIITA, vol.9 no.1, p.1051-1058, DOI: 10.22664/ISITA.2025.9.1.1051
Ga Eun Jung, Jae In Lee, Seok Ju Lee, Chang Uk Kim
Abstract. The transformation of seaports into smart ports has increased interest in the automation of Grab-Type Ship Unloaders (GTSU), which are essential for unloading bulk materials like coal and iron ore. Automated GTSU systems enhance operational safety, reduce energy consumption, and lower carbon emissions, offering significant advantages over conventional systems. This study presents the development of a dynamic simulation platform for validating GTSU unloading automation algorithms designed for smart ports. The crane system within the dynamic simulation platform is implemented in Modelica as a continuous-time system. The input of the crane system model is the speed of each driving part, and the output is the position of each driving part. Simulation results were verified by comparing the actual and simulated operating positions. The errors from the actual displacement of the trolley and hoist were 0.35 m and 1.10 m, respectively. The proposed simulation platform demonstrates potential for accelerating the development and deployment of fully automated GTSU systems, contributing to the realization of smart port operations.
Keywords; dynamics, grab-type ship unloader, Modelica, simulation-based validation, smart port
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