April 19, 2024

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Volocopter Heavy-Lift Cargo Drone Completes Deconfliction Test Flights


VoloDroneVoloDrone

Volocopter has completed a two-week test flight campaign for its VoloDrone multi-rotor heavy-lift cargo carrier at the DLR National Experimental Test Centre for Unmanned Aircraft, Magdeburg-Cochstedt Airport, Germany. 

The series of test programs were part of the European-funded CORUS-XUAM project, focusing on integrating the digital Air Traffic Management (ATM) and Unmanned Traffic Management (UTM) interfaces to allow new airspace users to safely be introduced into the existing airspace. 

The test flights included deconfliction and aircraft spacing procedures that fall under the CORUS-XUAM project’s Very Large Demonstration (VLD) endeavor. 

Volocopter believes that for the Urban Air Mobility (UAM) industry to establish itself and scale up, electric Vertical Takeoff and Landing (eVTOL) aircraft like the VoloDrone must be able to seamlessly fly among more established aircraft that occupy the same lower airspace.

Currently, ATM systems are not designed to handle the upsurge in aircraft volumes or the digitization of UAM. Harmonizing existing and new traffic management systems for brand-new aircraft integration aims to ensure efficient large-scale operations. 

Volocopter believes successfully completing this CORUS-XUAM test flight is another step toward UAM integration into the lower airspace as the company aims for entry into commercial service by 2024 in major cities such as Paris and Singapore.

This latest CORUS-XUAM test flight featured remotely piloted/automated flights with VoloDrone, with unforeseen circumstances and obstacles included in pre-determined flight routes. 

While the flights physically took place in Cochstedt, the digital airspace simulated were those of Frankfurt Airport and London airports, which were scaled down accurately and mapped to fit the physical space of Cochstedt airfield. These real-world use cases focused on exercises for yielding to priority traffic and changing flight speeds to ease traffic flow management.

In the German use case, the VoloDrone’s flight path between Messe Frankfurt (trade show grounds) and Frankfurt Airport was diverted once Volocopter’s VoloIQ digital ecosystem technology received an incoming signal from an Emergency Medical Services (EMS) aircraft’s priority landing at a hospital en route. 

The UK simulation highlighted the VoloDrone’s ability to decrease its flight speed to create space for a safe approach and takeoff once it entered the congested airspace above busy London airports, for better air traffic flow management. 

In both instances, the digital interfaces of VoloIQ and the U-Space Service Provider (USSP) worked together to successfully manage the VoloDrone’s flight path and speed, as well as priority-access vehicles and air traffic.

Ongoing testing has resulted in several improvements to Volocopter’s VoloDrone. The features of the new-and-improved cargo drone revealed during this test campaign included the adoption of scalable aluminum rotor beams, lightweight and durable fiberglass housing, and overhauled fuselage design.

“The successful flight tests of the VoloDrone at Cochstedt bring this year’s CORUS-XUAM project to a close. Volocopter is pleased to have reliably conquered all the necessary ATM/UTM testing items with our passenger air taxi, cargo aircraft, and the VoloIQ, all to the highest levels of safety,” said Oliver Reinhardt, Volocopter’s Chief Risk and Certification Officer. “Our team has proven throughout these tests that our aircraft, operations, and digital software can safely adapt to various test flight scenarios. To ultimately establish a robust UAM ecosystem, we will continue to test and improve the ATM/UTM interfaces beyond the testing sandbox, as well as improve communications with individual partners within each country’s ecosystem.”

This project has received funding from the European Union’s initiative Single European Sky ATM Research (SESAR) Joint Undertaking, under the European Union’s Horizon 2020 research and innovation program under grant agreement No. 101017682.

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