The U.S. Army Research Laboratory is experimenting with a hybrid unmanned aerial vehicle that transforms in flight and gives Soldiers an advantage on the battlefield of the future.
Weighing in at just over half a pound, this UAV tilts its rotors to go from hovering like a helicopter to speeding along like a sleek airplane. The design has many efficiencies, but also provides many challenges to its creator, Dr. Steve Nogar, a postdoctoral researcher with the lab’s Vehicle Technology Directorate.
“In an aircraft, weight is everything,” Nogar said. There are a lot of vehicles out there where designers take a quad-rotor and staple it to a fixed-wing aircraft. It may have extra propellers and actuators and it’s not very efficient. You have a lot of wasted weight.”
For testing, Nogar has temporarily attached a large paper half-circle to the prototype to slow it down. The final design will be less than 10 inches in length.
“The tilt-rotor design that is kind of like the V-22 Osprey, where the motors tilt themselves,” Nogar said.
The Osprey is a multi-mission, tilt-rotor military aircraft designed for both vertical takeoff and landing. The V-22 is more than 57 feet in length. Shrinking that capability to less than one foot has been a challenge due to the complex physics that govern the vehicle’s movement and the associated control methods, Nogar said.
With this hybrid UAV, transforming from hovering to horizontal flight offers speed, agility and mission flexibility.
“Looking forward, we want to look at perching or landing on something in the environment,” Nogar said. “That means we have to be able to sense the environment.”
Imagine a future drone that knows how to land itself to conserve power while gathering situational awareness. The UAV will need to be able to detect walls, avoid obstacles and rapidly understand its environment.
“If you’re going to land on something, you need to know very quickly how fast that’s coming up to you as you come in to land,” he said. “We will need to enable the UAV to sense and perceive its environment using visual techniques such as machine learning.”
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