Introduction
Current research at the National Aeronautics and Space Administration (NASA) Dryden Flight Research Center involves Intelligent Flight Control Systems (IFCS).
The goal of this project is to develop an adaptive neural network-based flight control system.
Applied directly to flight control system feedback errors, IFCS provides adjustments to improve aircraft performance in normal flight, as well as with system failures.
With IFCS, a pilot is able to maintain control and safely land an aircraft that has suffered a failure to a control surface or damage to the airframe.
It also improves mission capability, increases the reliability and safety of flight, and eases the pilot workload.
Today’s aircraft employ a variety of flight control systems.
For example, some aircraft in the sport pilot category rely on weight-shift control to fly while balloons use a standard burn technique.
Helicopters utilize a cyclic to tilt the rotor in the desired direction along with a collective to manipulate rotor pitch and anti-torque pedals to control yaw.
For additional information on flight control systems, refer to the appropriate handbook for information related to the flight control systems and characteristics of specific types of aircraft.
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