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Neural network application to aircraft control system designThe feasibility of using artificial neural network as control systems for modern, complex aerospace vehicles is investigated via an example aircraft control design study. The problem considered is that of designing a controller for an integrated airframe/propulsion longitudinal dynamics model of a modern fighter aircraft to provide independent control of pitch rate and airspeed responses to pilot command inputs. An explicit model following controller using H infinity control design techniques is first designed to gain insight into the control problem as well as to provide a baseline for evaluation of the neurocontroller. Using the model of the desired dynamics as a command generator, a multilayer feedforward neural network is trained to control the vehicle model within the physical limitations of the actuator dynamics. This is achieved by minimizing an objective function which is a weighted sum of tracking errors and control input commands and rates. To gain insight in the neurocontrol, linearized representations of the nonlinear neurocontroller are analyzed along a commanded trajectory. Linear robustness analysis tools are then applied to the linearized neurocontroller models and to the baseline H infinity based controller. Future areas of research identified to enhance the practical applicability of neural networks to flight control design.
Document ID
19910065053
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Troudet, Terry
(NASA Lewis Research Center Cleveland, OH, United States)
Garg, Sanjay
(NASA Lewis Research Center Cleveland, OH, United States)
Merrill, Walter C.
(NASA Lewis Research Center Cleveland, OH, United States)
Date Acquired
August 14, 2013
Publication Date
January 1, 1991
Subject Category
Aircraft Stability And Control
Report/Patent Number
AIAA PAPER 91-2715
Meeting Information
Meeting: AIAA Guidance, Navigation and Control Conference
Location: New Orleans, LA
Country: United States
Start Date: August 12, 1991
End Date: August 14, 1991
Accession Number
91A49676
Distribution Limits
Public
Copyright
Other

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