Predicting the motion of quadrotor using neural network

Accurate control of quadrotors movement is a challenging task. One must have a reliable controller that will manipulate the speed of each motors. It is also important to study the effect of voltage to the motor speed. This paper will use neural network to predict the rolling and pitching motion of t...

Full description

Saved in:

Bibliographic Details
Main Authors:	Galvez, Reagan L., Dadios, Elmer P., Bandala, Argel A.
Format:	text
Published:	Animo Repository 2016
Subjects:	Quadrotor helicopters Drone aircraft—Control systems Controls and Control Theory Electrical and Electronics
Online Access:	https://animorepository.dlsu.edu.ph/faculty_research/338
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	De La Salle University

id	oai:animorepository.dlsu.edu.ph:faculty_research-1337
record_format	eprints
spelling	oai:animorepository.dlsu.edu.ph:faculty_research-13372021-12-03T01:55:33Z Predicting the motion of quadrotor using neural network Galvez, Reagan L. Dadios, Elmer P. Bandala, Argel A. Accurate control of quadrotors movement is a challenging task. One must have a reliable controller that will manipulate the speed of each motors. It is also important to study the effect of voltage to the motor speed. This paper will use neural network to predict the rolling and pitching motion of the quadrotor based on the voltage inputs of each motor. It will also determine the net force along z-axis acting at the center of mass of the quadrotor. The neural network is a computer algorithm that mimics the biological structure of neurons (nerve cell) and a powerful tool commonly used in fitting a function, pattern recognition, face recognition, clustering and optimization. © 2015 IEEE. 2016-01-25T08:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/338 Faculty Research Work Animo Repository Quadrotor helicopters Drone aircraft—Control systems Controls and Control Theory Electrical and Electronics
institution	De La Salle University
building	De La Salle University Library
continent	Asia
country	Philippines Philippines
content_provider	De La Salle University Library
collection	DLSU Institutional Repository
topic	Quadrotor helicopters Drone aircraft—Control systems Controls and Control Theory Electrical and Electronics
spellingShingle	Quadrotor helicopters Drone aircraft—Control systems Controls and Control Theory Electrical and Electronics Galvez, Reagan L. Dadios, Elmer P. Bandala, Argel A. Predicting the motion of quadrotor using neural network
description	Accurate control of quadrotors movement is a challenging task. One must have a reliable controller that will manipulate the speed of each motors. It is also important to study the effect of voltage to the motor speed. This paper will use neural network to predict the rolling and pitching motion of the quadrotor based on the voltage inputs of each motor. It will also determine the net force along z-axis acting at the center of mass of the quadrotor. The neural network is a computer algorithm that mimics the biological structure of neurons (nerve cell) and a powerful tool commonly used in fitting a function, pattern recognition, face recognition, clustering and optimization. © 2015 IEEE.
format	text
author	Galvez, Reagan L. Dadios, Elmer P. Bandala, Argel A.
author_facet	Galvez, Reagan L. Dadios, Elmer P. Bandala, Argel A.
author_sort	Galvez, Reagan L.
title	Predicting the motion of quadrotor using neural network
title_short	Predicting the motion of quadrotor using neural network
title_full	Predicting the motion of quadrotor using neural network
title_fullStr	Predicting the motion of quadrotor using neural network
title_full_unstemmed	Predicting the motion of quadrotor using neural network
title_sort	predicting the motion of quadrotor using neural network
publisher	Animo Repository
publishDate	2016
url	https://animorepository.dlsu.edu.ph/faculty_research/338
_version_	1718383464285208576

Predicting the motion of quadrotor using neural network

Similar Items