DocumentCode :
2487481
Title :
An insect-inspired targeting/evasion reflex for autonomous air vehicles
Author :
Vaidyanathan, Ravi ; Williams, Charles A. ; Prince, Troy S. ; Ritzmann, Roy E. ; Quinn, Roger D.
Author_Institution :
Orbital Res. Inc., Cleveland, OH, USA
Volume :
2
fYear :
2002
fDate :
2002
Abstract :
This paper investigates a biologically inspired target seeking reflex for the endgame phase of autonomous munition flight. The reflex is based upon an artificial neural network model of the American Cockroach´s escape reflex, and combines exteroceptive and proprioceptive inputs to produce output commands to a Linear Quadratic Regulator (LQR) autopilot that guides the munition to an optimal path destination and orientation for target strike. Simulation and flight test results are presented that demonstrate the reflex´s capability for instantaneous target strike on evasive targets, even in the presence of false or disruptive sensor data.
Keywords :
aircraft control; biomimetics; linear quadratic control; missile guidance; neural nets; remotely operated vehicles; American cockroach; artificial neural network model; autonomous air vehicle; endgame phase; evasion reflex; flight control; insect escape reflex; linear quadratic regulator autopilot; munition flight; tactical missile guidance; target seeking reflex; Artificial neural networks; Biological system modeling; Delay effects; Mechanical engineering; Missiles; Mobile robots; Regulators; Remotely operated vehicles; Uncertainty; Weapons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Avionics Systems Conference, 2002. Proceedings. The 21st
Print_ISBN :
0-7803-7367-7
Type :
conf
DOI :
10.1109/DASC.2002.1052940
Filename :
1052940
Link To Document :
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