%0 Journal Article %A Igor Astrov and Natalya Berezovski %D 2015 %J International Journal of Computer and Information Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 104, 2015 %T Neural Network Motion Control of VTAV by NARMA-L2 Controller for Enhanced Situational Awareness %U https://publications.waset.org/pdf/10001781 %V 104 %X This paper focuses on a critical component of the situational awareness (SA), the control of autonomous vertical flight for vectored thrust aerial vehicle (VTAV). With the SA strategy, we proposed a neural network motion control procedure to address the dynamics variation and performance requirement difference of flight trajectory for a VTAV. This control strategy with using of NARMAL2 neurocontroller for chosen model of VTAV has been verified by simulation of take-off and forward maneuvers using software package Simulink and demonstrated good performance for fast stabilization of motors, consequently, fast SA with economy in energy can be asserted during search-and-rescue operations. %P 1839 - 1843