Title :
Two-rate neural predictive control of coaxial rotor/ducted-fan TUAV for enhanced situational awareness
Author :
Igor Astrov;Natalya Berezovski;Mihhail Pikkov;Vadim Kimlaychuk
Author_Institution :
Faculty of Information Technology, Tallinn University of Technology, Estonia
Abstract :
This paper focuses on a critical component of the situational awareness (SA), the control of autonomous vertical flight for tactical unmanned aerial vehicle (TUAV). With the SA strategy, we proposed a two-rate flight control procedure using two autonomous control subsystems to address the dynamics variation and performance requirement difference in initial and final stages of flight trajectory for an TUAV model with coaxial rotor and ducted fan configuration. This control strategy for chosen model of TUAV has been verified by simulation of flight maneuvers using software package Simulink and demonstrated good performance for fast stabilization of engines during flight, consequently, fast SA with economy in energy can be asserted during search-and-rescue operations.
Keywords :
"Rotors","Mathematical model","Control systems","Software packages","Atmospheric modeling","Unmanned aerial vehicles","Prototypes"
Conference_Titel :
Information Society (i-Society), 2015 International Conference on
DOI :
10.1109/i-Society.2015.7366873