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Selected Flight Test Results for Online Learning Neural Network-Based Flight Control SystemThe NASA F-15 Intelligent Flight Control System project team has developed a series of flight control concepts designed to demonstrate the benefits of a neural network-based adaptive controller. The objective of the team is to develop and flight-test control systems that use neural network technology to optimize the performance of the aircraft under nominal conditions as well as stabilize the aircraft under failure conditions. Failure conditions include locked or failed control surfaces as well as unforeseen damage that might occur to the aircraft in flight. This report presents flight-test results for an adaptive controller using stability and control derivative values from an online learning neural network. A dynamic cell structure neural network is used in conjunction with a real-time parameter identification algorithm to estimate aerodynamic stability and control derivative increments to the baseline aerodynamic derivatives in flight. This set of open-loop flight tests was performed in preparation for a future phase of flights in which the learning neural network and parameter identification algorithm output would provide the flight controller with aerodynamic stability and control derivative updates in near real time. Two flight maneuvers are analyzed a pitch frequency sweep and an automated flight-test maneuver designed to optimally excite the parameter identification algorithm in all axes. Frequency responses generated from flight data are compared to those obtained from nonlinear simulation runs. An examination of flight data shows that addition of the flight-identified aerodynamic derivative increments into the simulation improved the pitch handling qualities of the aircraft.
Document ID
20040105654
Acquisition Source
Armstrong Flight Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Williams, Peggy S. (NASA Dryden Flight Research Center Edwards, CA, United States)
Date Acquired
September 7, 2013
Publication Date
January 1, 2004
Subject Category
Aircraft Stability And Control
Meeting Information
Meeting: AIAA Intelligent Systems Conference
Location: Chicago, IL
Country: United States
Start Date: September 20, 2004
End Date: September 22, 2004
Sponsors: American Inst. of Aeronautics and Astronautics
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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