Multi-physical modeling and analysis on UAV launching system

For UAVs unable to take off vertically, a launch device is essential, and accurate launch velocity prediction is crucial. This study develops two mathematical models for both the mechanical and the pneumatic subsystems of the launching system of unmanned aerial vehicles (UAVs) and solves these coupled, highly nonlinear ordinary differential equations by the fourth-order Runge-Kutta method. By applying this multi-physical model to the launching systems of UAVs, the trend with time of the shuttle displacement, velocity, and acceleration, as well as the tank and cylinder pressures in the mathematical results, are similar to those observed in real experiments. Using MATLAB as the platform, this multi-physical model accurately predicts the velocity of the launching system (or dummy), with a maximum error of 9.0% and a minimum error of 4.3% compared to the experimental results. Additionally, this multi-physical model reveals a linear relationship between the frictional force and pull force of the shuttle, which is consistent with the co-simulation results. Overall, these models not only offer the greatest design flexibility to understand and meet the required launching system’s performance, it will also save the cost and time for the efficient R&D procedure of future UAVs’ applications.

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Publication Details

Journal
Advances in Mechanical Engineering
Published
2024-12-01
DOI
https://doi.org/10.1177/16878132241303440
Primary Topic
Guidance and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi-physical modeling and analysis on UAV launching system

Jhy-Cherng Tsai, Chin-Fa Lee, Cheng‐Hsiung Kuo
Advances in Mechanical Engineering
Guidance and Control Systems
article

Multi-physical modeling and analysis on UAV launching system

Jhy-Cherng Tsai, Chin-Fa Lee, Cheng‐Hsiung Kuo
article en

Abstract

For UAVs unable to take off vertically, a launch device is essential, and accurate launch velocity prediction is crucial. This study develops two mathematical models for both the mechanical and the pneumatic subsystems of the launching system of unmanned aerial vehicles (UAVs) and solves these coupled, highly nonlinear ordinary differential equations by the fourth-order Runge-Kutta method. By applying this multi-physical model to the launching systems of UAVs, the trend with time of the shuttle displacement, velocity, and acceleration, as well as the tank and cylinder pressures in the mathematical results, are similar to those observed in real experiments. Using MATLAB as the platform, this multi-physical model accurately predicts the velocity of the launching system (or dummy), with a maximum error of 9.0% and a minimum error of 4.3% compared to the experimental results. Additionally, this multi-physical model reveals a linear relationship between the frictional force and pull force of the shuttle, which is consistent with the co-simulation results. Overall, these models not only offer the greatest design flexibility to understand and meet the required launching system’s performance, it will also save the cost and time for the efficient R&D procedure of future UAVs’ applications.

Advances in Mechanical EngineeringVol. 16(12)
National Chung Hsing University (TW)
Hsinchu Science Park Bureau, Ministry of Science and Technology, Taiwan
Openalex Percentile: Top 61%
Guidance and Control Systems
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Multi-physical modeling and analysis on UAV launching system — Jhy-Cherng Tsai, Chin-Fa Lee, et al. · Advances in Mechanical Engineering (2024) | TGRS Research Map | TGRS