Simulation modeling and optimization study of bench dragon movement

This study proposes an enhanced kinematic model integrating 3D motion characteristics for a 223-segment Bench Dragon team. A polar-coordinate chain model is developed, combining spiral differential equations and iterative coordinate computation via the circular intersection method. The introduction of 3D rotational degrees of freedom ((pitch/roll angles \({{\rm{\alpha }}}_{\rm{i}}/{{\rm{\beta }}}_{\rm{i}}\)) and a spring-damper model (k=500 N/m) mitigates velocity anomalies under rigid-body assumptions, reducing tail velocity peaks from 441.24 m/s to 5.2 m/s. A high-precision collision detection framework using 3D convex hulls and the Bullet physics engine lowers false positives by 85.4% (12.3%→1.8%) and revises the initial collision time to 418.75 s. Experimental validation shows root mean square errors of 0.21 m and 0.18 m/s. Optimization results confirm a minimum pitch \({p}_{min} = 0.42m\) for safe turning in 9 m-diameter zones, with S-shaped dual-arc paths fixed at 13.624 m and a maximum safe leading speed of 1.347 m/s.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1145/3745533.3745548
Primary Topic
Tribology and Lubrication Engineering
Type
article
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article

Simulation modeling and optimization study of bench dragon movement

Y.Q. Wang, Xinmei Lin, Kuang Wei, Xianghua Ma et al.
Tribology and Lubrication Engineering
article

Simulation modeling and optimization study of bench dragon movement

Y.Q. Wang, Xinmei Lin, Kuang Wei, Xianghua Ma, Jiaying Yang
article en

Abstract

This study proposes an enhanced kinematic model integrating 3D motion characteristics for a 223-segment Bench Dragon team. A polar-coordinate chain model is developed, combining spiral differential equations and iterative coordinate computation via the circular intersection method. The introduction of 3D rotational degrees of freedom ((pitch/roll angles \({{\rm{\alpha }}}_{\rm{i}}/{{\rm{\beta }}}_{\rm{i}}\)) and a spring-damper model (k=500 N/m) mitigates velocity anomalies under rigid-body assumptions, reducing tail velocity peaks from 441.24 m/s to 5.2 m/s. A high-precision collision detection framework using 3D convex hulls and the Bullet physics engine lowers false positives by 85.4% (12.3%→1.8%) and revises the initial collision time to 418.75 s. Experimental validation shows root mean square errors of 0.21 m and 0.18 m/s. Optimization results confirm a minimum pitch \({p}_{min} = 0.42m\) for safe turning in 9 m-diameter zones, with S-shaped dual-arc paths fixed at 13.624 m and a maximum safe leading speed of 1.347 m/s.

Shanxi University (CN), Jinzhong University (CN)
Openalex Percentile: Top 78%
Tribology and Lubrication Engineering
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