Predicting the motion of quadrotor using neural network
College
Gokongwei College of Engineering
Department/Unit
Electronics And Communications Engg
Document Type
Conference Proceeding
Source Title
8th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2015
Publication Date
1-25-2016
Abstract
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.
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Digitial Object Identifier (DOI)
10.1109/HNICEM.2015.7393191
Recommended Citation
Galvez, R. L., Dadios, E. P., & Bandala, A. A. (2016). Predicting the motion of quadrotor using neural network. 8th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2015 https://doi.org/10.1109/HNICEM.2015.7393191
Disciplines
Controls and Control Theory | Electrical and Electronics
Keywords
Quadrotor helicopters; Drone aircraft—Control systems
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