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Open AccessArticle
Modeling and Control of Distributed-Propulsion eVTOL UAV Hovering Flight
by
Qingfeng Zhao
Qingfeng Zhao 1,2,†
,
Yawen Zhang
Yawen Zhang 1,2,†,
Rui Wang
Rui Wang 1,2,*,† and
Zhou Zhou
Zhou Zhou 1,2,†
1
School of Aeronautics, Northwestern Polytechnical University, Xi’an 710072, China
2
National Key Laboratory of Aircraft Configuration Design, Xi’an 710072, China
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Vehicles 2025, 7(4), 138; https://doi.org/10.3390/vehicles7040138 (registering DOI)
Submission received: 26 August 2025
/
Revised: 6 November 2025
/
Accepted: 25 November 2025
/
Published: 26 November 2025
Abstract
For vertical takeoff and landing (VTOL) control of distributed-propulsion, fixed-wing UAVs exhibiting strong nonlinearity and aerodynamic/propulsive coupling, traditional linearization methods incur significant modeling errors in pitch–roll coupling and vortex interference scenarios due to neglected high-order nonlinearities, leading to inherent control law limitations. This study focuses on a non-tilting, distributed-propulsion VTOL UAV featuring integrated airframe-propulsion design. Each of its four propulsion units contains six ducted rotors, arranged in tandem wing configuration on both fuselage sides. A revised propulsion–aerodynamic coupling model was established and validated through bench tests and CFD data, enabling the design of an Incremental Nonlinear Dynamic Inversion (INDI) control architecture. The UAV dynamics model was constructed in Matlab/Simulink incorporating this revised model. An INDI-based attitude control law was developed with cascade controllers (angular rate inner-loop/attitude outer-loop) for VTOL mode, integrated with propulsion-system and control-surface allocation strategies. Digital simulations validated the controller’s effectiveness and robustness. Finally, tethered flight tests with physical prototypes confirmed the method’s applicability for high-precision control of strongly nonlinear distributed-propulsion UAVs.
Share and Cite
MDPI and ACS Style
Zhao, Q.; Zhang, Y.; Wang, R.; Zhou, Z.
Modeling and Control of Distributed-Propulsion eVTOL UAV Hovering Flight. Vehicles 2025, 7, 138.
https://doi.org/10.3390/vehicles7040138
AMA Style
Zhao Q, Zhang Y, Wang R, Zhou Z.
Modeling and Control of Distributed-Propulsion eVTOL UAV Hovering Flight. Vehicles. 2025; 7(4):138.
https://doi.org/10.3390/vehicles7040138
Chicago/Turabian Style
Zhao, Qingfeng, Yawen Zhang, Rui Wang, and Zhou Zhou.
2025. "Modeling and Control of Distributed-Propulsion eVTOL UAV Hovering Flight" Vehicles 7, no. 4: 138.
https://doi.org/10.3390/vehicles7040138
APA Style
Zhao, Q., Zhang, Y., Wang, R., & Zhou, Z.
(2025). Modeling and Control of Distributed-Propulsion eVTOL UAV Hovering Flight. Vehicles, 7(4), 138.
https://doi.org/10.3390/vehicles7040138
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