@article{(Open Science Index):https://publications.waset.org/pdf/10001781, title = {Neural Network Motion Control of VTAV by NARMA-L2 Controller for Enhanced Situational Awareness}, author = {Igor Astrov and Natalya Berezovski}, country = {}, institution = {}, abstract = {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.}, journal = {International Journal of Computer and Information Engineering}, volume = {9}, number = {8}, year = {2015}, pages = {1839 - 1843}, ee = {https://publications.waset.org/pdf/10001781}, url = {https://publications.waset.org/vol/104}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 104, 2015}, }