INSIDE THE COCKPIT: Pilots complete automatic take-off

INSIDE THE COCKPIT: Pilots complete automatic take-off
Published: 19 January 2020 - 5 a.m.
By: Aviation Business

A test crew has for the first time completed a fully automated take-off.

The pilots used Airbus’ automatic vision-based system to take off in an Airbus A350-1000 aircraft at Toulouse-Blagnac airport.

The test crew comprising of two pilots, two flight test engineers and a test flight engineer conducted a total of eight take-offs over a period of four and a half hours.

“The aircraft performed as expected during these milestone tests. While completing alignment on the runway, waiting for clearance from air traffic control, we engaged the auto-pilot,” said Airbus test pilot captain Yann Beaufils.

“We moved the throttle levers to the take-off setting and we monitored the aircraft. It started to move and accelerate automatically maintaining the runway centre line, at the exact rotation speed as entered in the system.

“The nose of the aircraft began to lift up automatically to take the expected take-off pitch value and a few seconds later we were airborne.”

Rather than relying on an Instrument Landing System (ILS), the existing ground equipment technology currently used by in-service passenger aircraft, the automatic take-off was enabled by image recognition technology installed directly on the aircraft.

Automatic take-off is an important milestone in Airbus’ Autonomous Taxi, Take-Off & Landing (ATTOL) project.

Launched in June 2018, ATTOL is one of the technological flight demonstrators being tested by Airbus in order to understand the impact of autonomy on aircraft.

The next steps in the project will see automatic vision-based taxi and landing sequences taking place by mid-2020.

Airbus said its mission is not to move ahead with autonomy as a target in itself, but instead to explore autonomous technologies alongside other innovations in areas such as materials, electrification and connectivity.

By doing so, Airbus is able to analyse the potential of these technologies in addressing key industrial challenges, including improving air traffic management, addressing pilot shortages and enhancing future operations.

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