Experimental validation demonstrates extreme speed performance in micro quadrotor UAV design, suggesting advancements in aerial robotics.
High-Speed Micro Quadrotor Platform – Design and Experimental Validation This record presents the design, aerodynamic optimization, and experimental validation of a high-speed micro quadrotor unmanned aerial vehicle (UAV) platform developed for extreme speed research. The project investigates the engineering challenges of achieving very high flight speeds under the strict constraint of a micro-class platform. The work focuses on the integrated optimization of airframe structure, aerodynamic configuration, propulsion system matching, electronic system integration, and flight control tuning. Several key engineering approaches were implemented in the platform design: • A vertical dual carbon-fiber load-bearing frame structure that increases structural stiffness while minimizing frontal area.• A streamlined fuselage layout with an internal battery configuration and a top-mounted camera to reduce aerodynamic drag.• A propeller hub fairing design with internal fasteners to improve airflow continuity near the rotor hub region.• Compact integration of flight controller and electronic speed controller components to reduce wiring complexity and system mass.• Iterative flight testing combined with blackbox log analysis to refine control parameters and system stability. The platform was validated through multiple prototype iterations and experimental flight testing. Flight data were recorded using onboard logging systems and analyzed to evaluate system performance and operational characteristics. The final prototype achieved a ground speed of 358.36 km/h, representing an extreme performance level for a micro quadrotor platform. Part of the engineering design files and documentation related to this project are available through the open-source repository: https://github.com/pokrc/POKRION-Speed-Drone The work aims to provide engineering insights for high-speed micro UAV design and experimental aerial robotics platforms.
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Siqi Yao (2026) studied this question.
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