@article{(Open Science Index):https://publications.waset.org/pdf/16006,
	  title     = {Flight Control of Vectored Thrust Aerial Vehicle by Neural Network Predictive Controller for Enhanced Situational Awareness},
	  author    = {Igor Astrov and  Mikhail Pikkov and  Rein Paluoja},
	  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 flight control procedure to address the dynamics variation and performance requirement difference of flight trajectory for an unmanned helicopter model with vectored thrust configuration. This control strategy 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 Aerospace and Mechanical Engineering},
	  volume    = {7},
	  number    = {5},
	  year      = {2013},
	  pages     = {807 - 811},
	  ee        = {https://publications.waset.org/pdf/16006},
	  url   	= {https://publications.waset.org/vol/77},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 77, 2013},
	}