Archive for the ‘fly-by-wire’ Category

Initial findings put Boeing’s software at center of Ethiopian 737 crash

March 29th, 2019
The Boeing 737 MAX's MCAS software was officially linked by FAA investigators to the crash of an Ethiopian Airlines flight earlier this month. The software was intended to compansate for the aerodynamic differences caused by the aircraft's larger engines.

Enlarge / The Boeing 737 MAX's MCAS software was officially linked by FAA investigators to the crash of an Ethiopian Airlines flight earlier this month. The software was intended to compansate for the aerodynamic differences caused by the aircraft's larger engines.

At a high-level briefing at the Federal Aviation Administration on March 28, officials revealed "black box" data from Ethiopian Airlines Flight 302 indicated that the Boeing 737 MAX's flight software had activated an anti-stall feature that pushed the nose of the plane down just moments after take-off. The preliminary finding officially links Boeing's Maneuvering Characteristics Augmentation System (MCAS) to a second crash within a five month period. The finding was based on data provided to FAA officials by Ethiopian investigators.

MCAS was partly blamed for the crash of a Lion Air 737 MAX off Indonesia last October. The software, intended to adjust the aircraft's handling because of aerodynamic changes caused by the 737 MAX's larger turbofan engines and their proximity to the wing, was designed to take input from one of two angle of attack (AOA) sensors on the aircraft's nose to determine if the aircraft was in danger of stalling. Faulty sensor data caused the MCAS systems on both the Lion Air and Ethiopian Airlines flights to react as if the aircraft was entering a stall and to push the nose of the aircraft down to gain airspeed.

On March 27, acting FAA Administrator Daniel Ewell told the Senate Commerce, Science, and Transportation Committee's aviation subcommittee that there had been no flight tests of the 737 MAX prior to its certification to determine how pilots would react in the event of an MCAS malfunction. He said that a panel of pilots had reviewed the software in a simulator and determined no additional training was required for 737-rated pilots to fly the 737 MAX.

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Posted in Biz & IT, Boeing, Boeing 737 MAX, Ethiopian Airlines Flight 302, FAA, Federal Aviation Administration, fly-by-wire, Lion Air Flight 610, MCAS, Policy | Comments (0)

More than an auto-pilot, AI charts its course in aviation

December 5th, 2018
Boeing 787 Dreamliner.

Enlarge / Boeing 787 Dreamliner. (credit: Nicolas Economou/NurPhoto via Getty Images)

Welcome to Ars UNITE, our week-long virtual conference on the ways that innovation brings unusual pairings together. Each day this week from Wednesday through Friday, we're bringing you a pair of stories about facing the future. Today's focus is on AI in transportation—buckle up!

Ask anyone what they think of when the words "artificial intelligence" and aviation are combined, and it's likely the first things they'll mention are drones. But autonomous aircraft are only a fraction of the impact that advances in machine learning and other artificial intelligence (AI) technologies will have in aviation—the technologies' reach could encompass nearly every aspect of the industry. Aircraft manufacturers and airlines are investing significant resources in AI technologies in applications that span from the flightdeck to the customer's experience.

Automated systems have been part of commercial aviation for years. Thanks to the adoption of "fly-by-wire" controls and automated flight systems, machine learning and AI technology are moving into a crew-member role in the cockpit. Rather than simply reducing the workload on pilots, these systems are on the verge of becoming what amounts to another co-pilot. For example, systems originally developed for unmanned aerial vehicle (UAV) safety—such as Automatic Dependent Surveillance Broadcast (ADS-B) for traffic situational awareness—have migrated into manned aircraft cockpits. And emerging systems like the Maneuvering Characteristics Augmentation System (MCAS) are being developed to increase safety when there's a need to compensate for aircraft handling characteristics. They use sensor data to adjust the control surfaces of an aircraft automatically, based on flight conditions.

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Posted in AI, analytics, ars-unite-2018, Artificial intelligence, aviation, Biz & IT, civil aviation, Features, fly-by-wire, machine learning | Comments (0)