The Future of Autonomous Aircraft

“The notion of automation is that there is some kind of data or service being provided, but the human is still overseeing, is still supervising, or managing, all of the different automation functions” says Atkins.

n even override the pilot’s decisions – if a pilot is involved at all.

The Case for Atonomy
But why have autonomous aircraft? According to Atkins, autonomy holds the promise of making air travel safer and expanding the capabilities of aircraft by augmenting onboard decision systems so they can make rational decisions in the face of unexpected or unusual events. This is done by using selected computer models and algorithms to address the complex problems raised by such a task. 

mmunity that thinks that autonomy is dangerous and scary and that it will invade our privacy. That’s not my goal.

“There are two classic examples of why we would want autonomy. One is in commercial transport. We need a plane to say ‘no.’ If a hijacker tries to fly into a skyscraper, there’s never an excuse for that. The second is once we get little drones that fly beyond the line of sight, but are often piloted by very inexperienced persons, we need them to be able to fly themselves safely.”

The applications for autonomy in aerospace have a potential that is nothing short of revolutionary. Aside from making air travel safer, it would open up the use of drones to an unheard of degree. Tiny drones could be used for surveying, inspections, security, and other tasks. Larger ones could deliver packages, urgently needed medical supplies, or disaster relief kits. Some could hover at high altitude for days, weeks, or months for everything from military reconnaissance to impromptu internet service. All of this while observing civilian flight regulations, avoiding obstacles, and being able to safely operate in the vicinity of other aircraft and even using standard air routes.

Autonomy might even change transportation with small, electrically propelled rotorcraft becoming the urban taxi of tomorrow, but without a pilot. Even a remote one might be redundant.

“If you look at one of these little fully-autonomous George Jetson vehicles, they’re going to carry four to six people,” says Atkins. “If you put even one pilot in there, that’s taking up either a quarter or a sixth of your total payload. Once you move that human pilot offboard to serve as a remote pilot, you have the same question – what are they doing and why?”

How Does Autonomy Work?
In terms of aircraft, autonomy is a matter of equipping vehicles with an extensive suite of sensors, such as computer vision cameras, radar, lidar, and others, combined with constantly updated maps, GPS navigation, computers that can process enormous amounts of data in real time, and the software that gives them enough artificial intelligence to become autonomous rather than just highly automated. In addition, the aircraft needs data links to communicate with outside systems, such as air traffic control, without going through a pilot. 

“It’s similar to the anti-crash automation that we have in some of our cars. If you translate that to the aircraft, it should never hit a mountain or a building.”

An example of why this is so important is the famous US Airways Flight 1549 that ditched in the Hudson River on January 15, 2009, when a A320 jetliner struck a flock of geese on takeoff from New York’s LaGuardia airport, damaging the engines and forcing pilots Chesley Sullenberger and Jeffrey Skiles to make a water landing, saving all 155 passengers.

“The engines knew they were having trouble,” says Atkins. “Engines are really advanced pieces of equipment. They have these things called FADEC – Full Authority Digital Engine Controllers – that have microcontrollers that take in lots of information on temperatures and pressures to try to optimize the performance of the engine. They were sending error messages back to the flight management system computer saying you’re getting low thrust even though we have this high throttle setting.

“The question was, what to do? One of the things you find in Sullenberger’s testimony is that he said, ‘I didn’t know if I could get back to LaGuardia. I just didn’t have the time to do those calculations myself and the computer didn’t do them for me, so I did the best I could by landing in the Hudson River.’

“The reality is any computer can calculate the glide path of an A320. In fact, if there had been two elements, the aircraft might have landed. One was emergency flight planning for the aircraft to immediately, within the first few seconds after engine failure, calculate that trajectory back to LaGuardia. That’s something my research group did as one of the first things I ever did in academia. 

“The second thing is the data link. Air traffic control relied solely on voice to get information about what was going on. If you listen to the voice cockpit recording of Sullenberger talking to air traffic control, New York is known for their high-quality air traffic controllers, but they just didn’t get it right away. When Sullenberger said ‘we had a bird strike, and we’ve lost engines,’ it took nearly 20 seconds. By then, the plane was coming down. It was too slow. Time-critical emergency landing needs a direct data link so that the engine data gets from the FADEC to the flight management system immediately, and then the emergency landing plan gets to the air traffic controller milliseconds later.”

The Future
When autonomy does arrive in its mature form, what will the future of aviation be? What will the skies be like when they’re home to independent, decision-making aircraft?

“We have this notion that the small unmanned aircraft that are going to fly under four hundred feet in commercial traffic are going to be untouched,” says Atkins. “That’s not going to last for very long. The other thing that we’ve seen is that, even though there are some pretty exciting possibilities for the tiny unmanned aircraft, like the little multicopters that are carrying your small package from point-to-point or delivering medicine. We are also going down a path toward urban air mobility, where we have Jetsons-like vehicles that look like Uber taxis, but they fly. 

So, like many other technical advances, the human factor comes into play as well as the engineering factor. According to Atkins, not only will the public need to be persuaded to accept autonomous systems, pilots will need a much better understanding of how such systems work as well. Even Aerospace engineers will need to consider the computer sciences in aircraft designs that integrate classical aerodynamics, structural, and propulsion elements with the advanced sensing, decision, and communication systems required for autonomous flight. 

Whatever the future of autonomy in aerospace is, it will certainly be interesting.