Research on the Dynamics Model and Jump/Drop Control Strategy of Distributed-Propeller Unmanned Aerial Vehicles

Compared with conventional drones, distributed powered drones have significant advantages in handling stability characteristics, lift and drag characteristics, and takeoff and landing performance. However, there are also challenges such as aerodynamic interference of multi powered slipstream, distributed-power/wing strong-coupling dynamic modeling, and redundant control allocation of distributed-power control mechanisms. The paper has carried out the research on the dynamic modeling method, flight dynamics characteristics analysis, and the design of the control strategy of the jump and steep descent of the distributed dynamic configuration fixed wing unmanned aerial vehicle. A comprehensive aircraft dynamic model considering the influence of propeller slip on aerodynamics was established by combining theoretical derivation with flight experiment data correction. By comparing and analyzing the longitudinal and lateral heading control efficiency of unmanned aerial vehicles under rudder deflection and dynamic differential, a control concept of roll co-ordination control yaw combined with left and right dynamic differential is proposed. Digital simulation and flight tests showed that the established full aircraft dynamics model can accurately reflect the motion laws of distributed-power takeoff and landing unmanned aerial vehicles. The designed takeoff and landing strategy and control scheme can successfully achieve unmanned aerial vehicle takeoff and landing and perform cruising flight tasks.

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Publication Details

Journal
Applied Sciences
Published
2024-12-23
DOI
https://doi.org/10.3390/app142412040
Primary Topic
Aerospace Engineering and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on the Dynamics Model and Jump/Drop Control Strategy of Distributed-Propeller Unmanned Aerial Vehicles

Xiaoping Xu, Yuanzhuo Geng, Yinglong He, Tao Chen
Applied Sciences
Aerospace Engineering and Control Systems
article

Research on the Dynamics Model and Jump/Drop Control Strategy of Distributed-Propeller Unmanned Aerial Vehicles

Xiaoping Xu, Yuanzhuo Geng, Yinglong He, Tao Chen
article en

Abstract

Compared with conventional drones, distributed powered drones have significant advantages in handling stability characteristics, lift and drag characteristics, and takeoff and landing performance. However, there are also challenges such as aerodynamic interference of multi powered slipstream, distributed-power/wing strong-coupling dynamic modeling, and redundant control allocation of distributed-power control mechanisms. The paper has carried out the research on the dynamic modeling method, flight dynamics characteristics analysis, and the design of the control strategy of the jump and steep descent of the distributed dynamic configuration fixed wing unmanned aerial vehicle. A comprehensive aircraft dynamic model considering the influence of propeller slip on aerodynamics was established by combining theoretical derivation with flight experiment data correction. By comparing and analyzing the longitudinal and lateral heading control efficiency of unmanned aerial vehicles under rudder deflection and dynamic differential, a control concept of roll co-ordination control yaw combined with left and right dynamic differential is proposed. Digital simulation and flight tests showed that the established full aircraft dynamics model can accurately reflect the motion laws of distributed-power takeoff and landing unmanned aerial vehicles. The designed takeoff and landing strategy and control scheme can successfully achieve unmanned aerial vehicle takeoff and landing and perform cruising flight tasks.

Applied SciencesVol. 14(24)
Aviation Industry Corporation of China (China) (CN), Northwestern Polytechnical University (CN)
Affordable and clean energy
Openalex Percentile: Top 61%
Aerospace Engineering and Control Systems
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Research on the Dynamics Model and Jump/Drop Control Strategy of Distributed-Propeller Unmanned Aerial Vehicles — Xiaoping Xu, Yuanzhuo Geng, et al. · Applied Sciences (2024) | TGRS Research Map | TGRS