VULCAN











Meet Vulcan

Named after the Roman god of the forge in reference to Sheffield's steel making  heritage, this 3.2m wingspan VTOL UAS will feature a carbon composite air-frame, advanced avionics and comprehensive software to perform search and rescue tasks in the RoboNation SUAS challenge.  All designed, built and tested using a systems engineering approach to ensure all mission objectives are fully met.

Below are a selection of concept renders of our initial designs and features; follow our blog and social media to stay up to date with the latest news on Vulcan's development.

V3 (EVO) Competition Vehicle

This is the version we are currently working on. It will be drastically different internally and be higher performance iteration of V2.

V3 will have a carbon fibre monocoque fuselage, wing, and tail. This will drastically reduce the weight and part count.

Emphasis will be put on continuously improving this design as we don't expect it to be perfect first time.

V2 First Flying Prototype

This was our second iteration on the internal structure and is the first version that flew successfully

V1 Structural Prototype

Designed and manufactured in house to verify the viability of producing a successful structure.

Carbon Composite Airframe 

Vulcans composite air frame will allow our UAS to have impressive flight time and loitering endurance. The large fuselage will have room for advanced search and mapping cameras, as well as a custom parachute-deployment mechanism which will deliver aid to those on the ground in need.

Powerful Avionics Package

Using a highly modular and integrated systems architecture, Vulcan will be equipped with the latest Pixhawk Cube flight controller, Here 3 GNSS and RF Design ultra long range telemetry radios.  Combined with a user friendly ground station our UAS will be able to perform a wide range of tasks including search and rescue, providing the operator with up to date actionable intelligence. 

Advanced Payload Systems 

Vulcan will feature a Sequential Deployment Mechanism (SDM) for delivering up to 5 individual first-aid packages. Additionally, a gimbal stabilised camera system with off-axis capabilities will be held in the nose of the aircraft, allowing advanced vision capabilities. Using computer vision and machine learning, it will be able to identify competition objectives and persons on the ground with geolocation data, before relaying this information back to the ground station.