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Record Details

Record 9 of 1800
Neural Flight Control System
Offline Availability: Go to Request Form
Author and Affiliation:
Gundy-Burlet, Karen(NASA Ames Research Center, Moffett Field, CA, United States)
Abstract: The Neural Flight Control System (NFCS) was developed to address the need for control systems that can be produced and tested at lower cost, easily adapted to prototype vehicles and for flight systems that can accommodate damaged control surfaces or changes to aircraft stability and control characteristics resulting from failures or accidents. NFCS utilizes on a neural network-based flight control algorithm which automatically compensates for a broad spectrum of unanticipated damage or failures of an aircraft in flight. Pilot stick and rudder pedal inputs are fed into a reference model which produces pitch, roll and yaw rate commands. The reference model frequencies and gains can be set to provide handling quality characteristics suitable for the aircraft of interest. The rate commands are used in conjunction with estimates of the aircraft s stability and control (S&C) derivatives by a simplified Dynamic Inverse controller to produce virtual elevator, aileron and rudder commands. These virtual surface deflection commands are optimally distributed across the aircraft s available control surfaces using linear programming theory. Sensor data is compared with the reference model rate commands to produce an error signal. A Proportional/Integral (PI) error controller "winds up" on the error signal and adds an augmented command to the reference model output with the effect of zeroing the error signal. In order to provide more consistent handling qualities for the pilot, neural networks learn the behavior of the error controller and add in the augmented command before the integrator winds up. In the case of damage sufficient to affect the handling qualities of the aircraft, an Adaptive Critic is utilized to reduce the reference model frequencies and gains to stay within a flyable envelope of the aircraft.
Publication Date: Apr 30, 2003
Document ID:
20030063933
(Acquired Aug 08, 2003)
Subject Category: AIRCRAFT STABILITY AND CONTROL
Document Type: Preprint
Meeting Information: NASA Symposium on Computational Methods for Stability and Control; 23-25 Sep. 2003; Hampton, VA; United States
Meeting Sponsor: NASA; United States
Contract/Grant/Task Num: RTOP 704-01-32
Financial Sponsor: NASA Ames Research Center; Moffett Field, CA, United States
Organization Source: NASA Ames Research Center; Moffett Field, CA, United States
Description: 3p; In English
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: No Copyright
NASA Terms: FLIGHT CONTROL; NETWORK CONTROL; NEURAL NETS; AIRCRAFT STABILITY; CONTROLLABILITY; ERROR SIGNALS; COST REDUCTION; STABILITY DERIVATIVES; LINEAR PROGRAMMING; RANGE (EXTREMES); DEFLECTION
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