A neural network based, real-time algorithm for detection and mitigation of pilot induced oscillations

Author

Cox, Chad ; Lewis, Carl ; Suchomel, Charles

Author_Institution

Accurate Autom. Corp., Chattanooga, TN, USA

Volume

1

fYear

2000

fDate

2000

Firstpage

500

Abstract

A neural network-based pilot-induced oscillations (PIO) detection algorithm and a PIO compensation method were shown to be highly effective during a series of piloted simulations. During PIO, the aircraft oscillates in a manner that is out of phase with the pilot´s control inputs. The pilot is not aware when PIO are driven by pilot-aircraft coupling, so he may continue driving the oscillations in an ineffective attempt to stop them. PIO have caused a significant number of aircraft accidents

Keywords

aerospace computing; aerospace simulation; aircraft control; motion compensation; neurocontrollers; oscillations; real-time systems; aircraft accidents; aircraft oscillation; neural network-based real-time algorithm; oscillation compensation method; oscillation mitigation; pilot control inputs; pilot-aircraft coupling; pilot-induced oscillations detection algorithm; piloted simulations; Accidents; Aerodynamics; Aerospace control; Automatic control; Control systems; Laboratories; Military aircraft; Neural networks; Testing; User interfaces;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 2000 IEEE International Conference on

Conference_Location

Nashville, TN

ISSN

1062-922X

Print_ISBN

0-7803-6583-6

Type

conf

DOI

10.1109/ICSMC.2000.885042

Filename

885042