Flatness-based trajectory planning for 3D overhead cranes with friction compensation and collision avoidance

This paper presents an optimal trajectory generation method for 3D overhead cranes by leveraging differential flatness. This framework enables the direct inclusion of complex physical and dynamic constraints, such as nonlinear friction and collision avoidance for both payload and rope. Our approach allows for aggressive movements by constraining payload swing only at the final point. A comparative simulation study validates our approach, demonstrating that neglecting dry friction leads to actuator saturation and collisions. The results show that friction modeling is a fundamental requirement for fast and safe crane trajectories.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-18
DOI
https://doi.org/10.5281/zenodo.20274546
Primary Topic
Dynamics and Control of Mechanical Systems
Type
preprint
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preprint

Flatness-based trajectory planning for 3D overhead cranes with friction compensation and collision avoidance

Edgar Ramirez-Laboreo, Jorge Vicente-Martinez
Zenodo (CERN European Organization for Nuclear Research)
Dynamics and Control of Mechanical Systems
preprint

Flatness-based trajectory planning for 3D overhead cranes with friction compensation and collision avoidance

Edgar Ramirez-Laboreo, Jorge Vicente-Martinez
preprint en

Abstract

This paper presents an optimal trajectory generation method for 3D overhead cranes by leveraging differential flatness. This framework enables the direct inclusion of complex physical and dynamic constraints, such as nonlinear friction and collision avoidance for both payload and rope. Our approach allows for aggressive movements by constraining payload swing only at the final point. A comparative simulation study validates our approach, demonstrating that neglecting dry friction leads to actuator saturation and collisions. The results show that friction modeling is a fundamental requirement for fast and safe crane trajectories.

Zenodo (CERN European Organization for Nuclear Research)
Universidad de Zaragoza (ES)
Dynamics and Control of Mechanical Systems
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