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Article

Modeling and Control of Distributed-Propulsion eVTOL UAV Hovering Flight

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
(This article belongs to the Special Issue Air Vehicle Operations: Opportunities, Challenges and Future Trends)

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.
Keywords: distributed electric propulsion vehicle; dynamics modeling; incremental nonlinear dynamic inversion; suspension experiments distributed electric propulsion vehicle; dynamics modeling; incremental nonlinear dynamic inversion; suspension experiments

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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