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B-21 scoop: The Air Force is going to demonstrate some form of artificial deep learning in the software code running on the OFP for the B-21. Here's the transcript of my interview with Dr. Roper, SAF/AQ
Lots to unpack there. But suffice it to say that the traditional approach to aircraft certification isn't kind to a deep learning approach to software. It's required that every software line of code is validated and verified on the ground first. So this will be interesting.
The LoFLYTE™ Neural Network Flight Control System is an important advance in aerospace technology because of the adaptive nature of the control system. The controller is designed to learn as it flies, so the control system, not the pilot, determines the most effective commands to give the plane for a particular situation.
During normal flight, the neural controller will use the data it receives from the telemetry system to compute the most efficient flight characteristics and adjust the control surfaces accordingly. However, where the neural control system has an enormous advantage over traditional control systems is during abnormal and unexpected flight conditions. For example, if the control system determines that the rudder is not responding, it will adjust quickly to control the aircraft using the remaining flight surfaces. Neural network control is necessary in hypersonic vehicles where the center of gravity of the vehicle can change significantly throughout the flight. The neural network can adjust to changing flight conditions faster than a human pilot, greatly enhancing the safety of the aircraft.
originally posted by: mightmight
a reply to: RadioRobert
Blame the optionally unmanned requirement.
originally posted by: RadioRobert
You don't need a neural network in the OFP for unmanned aircraft.
Neural networking in other areas would 100% help you achieve a better UCAV, though.
But within the operational flight program for your FCS? No.