Discwing: Circular Distributed Airflow Vectoring Platform

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Challenge: Conventional UAVs must compromise hovering capability, maneuverability and high-speed flight. DiscWing proposes a heading-independent circular VTOL architecture that continuously optimizes its orientation relative to airflow using distributed AI-based aerodynamic control. A symmetric circular airframe with VTOL capability overcomes directional vector limitations. Non-thermal plasma reduces boundary-layer separation—fusing multirotor agility with fixed-wing velocity into a singular propulsion architecture.

Innovations:

  • Heading-independent flight architecture,
  • Distributed airflow, thrust vectoring,
  • AI aerodynamic optimization,
  • Optional plasma flow control.

Architecture: Multiple identical modules distributed around the circular airframe collectively provide omnidirectional propulsion and attitude control without relying on a fixed aircraft nose or conventional control surfaces. Each propulsion module consists of an enclosed lift fan mounted within a dual-axis gimbal inside an aerodynamic flow cell. The fan pressurizes the internal plenum, while iris-controlled ports regulate airflow release and local aerodynamic shaping. By combining fan orientation, controlled pressure discharge, and airflow modulation, each module generates a continuously steerable thrust vector.

Unlike conventional aircraft, the platform has no permanently assigned aerodynamic orientation. The flight-reference frame is established dynamically by the flight controller according to the current maneuver and gravity vector rather than by the vehicle geometry.

  • Vertical Takeoff: The aircraft launches vertically with the lower iris ports fully opened and the upper and lateral ports closed. All propulsion modules generate a combined downward thrust for vertical takeoff. As speed increases, the AI continuously reorients the gimbaled fans while adjusting the iris ports to redirect airflow and generate the required thrust vector, transitioning to forward flight.

  • Plasma Activation: At peak velocities or extreme angles of attack, the system triggers plasma flow control to suppress air separation and reduce boundary-layer losses, and improve high-speed controllability.

  • Energy-Aware Trajectory: Instead of opposing inertia with abrupt braking or thrust reversals, the flight controller continuously reshapes the flight path, using circular, spiral, minimum-radius trajectories to manage vehicle inertia, reducing inertial loads, aerodynamic losses, energy consumption. AI uses pressure and strain feedback from the circular rim to continuously redefine the effective leading edge and rotate the platform toward the most aerodynamically favorable orientation.

Feasibility/Manufacturing: Architecture requires zero “new physics” or exotic materials, feasible using mature off-the-shelf technologies. Propulsion and control utilize standard BLDC motors, Li-ion batteries, commercial IMUs, edge AI computing, and proven DBD plasma actuators. High-strength composites, lightweight alloys, monolithic molded structures, 3D printing, powder metallurgy, CNC machining, automated casting, commercial microelectronics, and nanocoatings enable rapid, scalable, modular production.

Applications/Market: Scalable from a single vehicle to coordinated autonomous swarms, redefining flight by uncoupling movement direction from airframe geometry, sharing sensing, communication, and mission execution. Multi-role platform operations from civil infrastructure monitoring to complex government security. Market versatility: multiple size and payload classes.

  • Commercial: oil, gas, energy infrastructure inspections, high-value cargo delivery, real-time mapping arrays.

  • Emergency: rapid disaster assessment, search, rescue, ad-hoc communications relay over wildfire zones.

  • Government/Defense: ISR, border surveillance, electronic warfare, mesh communications, adaptive swarm networking.

Philosophy: The coordinate system ceased to be a property of the structure and became a function of the control algorithm.

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  • About the Entrant

  • Name:
    Sergei Shakhov
  • Type of entry:
    individual
  • Profession:
    Engineer/Designer
  • Software used for this entry:
    * CATIA V5 — CAD design and conceptual modeling * ANSYS Fluent (или просто ANSYS, если именно так использовал) — preliminary airflow analysis * Mathcad — engineering calculations
  • Patent status:
    none