Title :
A damage adaptive flight control system using neural network technology
Author :
Urnes, James, Sr. ; Davidson, Ron ; Jacobson, Steve
Author_Institution :
Boeing Co., Seattle, WA, USA
Abstract :
The NASA Dryden Flight Research Center and Boeing are developing a damage adaptive flight control system that utilizes neural network technology to predict the stability and control parameters of the aircraft, and uses this data to continuously optimize the control system response. This intelligent flight control system (IFCS) is designed to provide consistent handling quality response to the pilot under normal conditions and during unforeseen damage or failure conditions to the aircraft.
Keywords :
aerospace control; aerospace simulation; frequency stability; neural nets; control parameters; damage adaptive flight control system; failure conditions; intelligent flight control system; neural network technology; quality response; stability; Adaptive control; Adaptive systems; Aerospace control; Aircraft; Control systems; NASA; Neural networks; Programmable control; Space technology; Stability;
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Print_ISBN :
0-7803-6495-3
DOI :
10.1109/ACC.2001.946344