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March 7, 2026PLoS ONE0 citationsOpen Access

Trajectory simulation of multi-body parachute system for airdrop-capable UAVs based on fluid-structure interaction

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HGHanxu GuoZGZiang GaoZZZijian Zhu

Key Points

  • The aim is to develop a novel UAV for precise airdrop operations while understanding dynamic coupling effects.
  • Established a 10-DOF multi-body dynamics model using Kane's equations.
  • Incorporated sixth-order vibration equations for rigid-flexible coupling effects.
  • Constructed a co-simulation framework combining FSI and LS-DYNA.
  • Analyzed trajectory curves under various deployment parameters.
  • Identified parachute jettison coordinates for varied deployment parameters.
  • Demonstrated dynamic coupling impacts on airdrop trajectories.
  • Validated the model's effectiveness through comparative analysis of simulated trajectories.

Abstract

Due to their demonstrated advantages of precision, efficiency, and low cost in disaster relief and commercial logistics, airdrop-capable unmanned aerial vehicle (UAV) are rapidly becoming pivotal tools in modern delivery systems. This paper proposes a novel airdrop-capable UAV with foldable wings. To address the requirements for high-precision deployment and parachute cut-off, a 10-degree-of-freedom (10-DOF) multibody dynamics model of the parachute-UAV system is established based on Kane’s equations. The solution process incorporates sixth-order vibration equations to characterize the system’s rigid-flexible coupling effects, precisely capturing the motion trajectories under varying initial deployment parameters (initial velocity, parachute diameter). To comparatively analyze the trajectory curves derived from fluid-structure interaction (FSI) simulation and to validate the model’s effectiveness, this paper constructs a co-simulation framework. This framework couples Gamma-Theta transition model-based FSI with LS-DYNA to simulate the airdrop dynamics across multiple operating conditions. This study acquires the parachute jettison coordinates of an airdrop UAV under varying deployment parameters, elucidating their parametric dynamic coupling on airdrop trajectories and separation point selection methodology. These findings establish both theoretical principles and technical frameworks for precision guidance and flight trajectory control.

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Cite This Study

Guo et al. (2026) studied this question.

synapsesocial.com/papers/69abc2855af8044f7a4ec283https://doi.org/10.1371/journal.pone.0343305
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