Paper Info
Title
Disturbances Based Adaptive Neuro-Control for UAVs: A First Approach.
Abstract
In this work an adaptive neuro-control is proposed to cope with some external disturbances that can affect unmanned aerial vehicles (UAV) dynamics, specifically: the variation of the system mass during logistic tasks and the influence of the wind. An intelligent control strategy based on a feedforward neural networks is applied. In particular, a variant of the generalized learning algorithm has been used. Simulation results show how the on-line learning increases the robustness of the controller, reducing the effects of the changes in mass and the effects of wind on the UAV stabilization, thus improving the system response. It has been compared with a PID controller obtaining better results.
Year
DOI
Venue
2018
10.1007/978-3-319-94120-2_28
INTERNATIONAL JOINT CONFERENCE SOCO'18-CISIS'18- ICEUTE'18
Keywords
Field
DocType
Neuro-control,Adaptive control,Disturbances rejection,Online learning,Neural networks,Unmanned Aerial Vehicle (UAV),Quadrotor
Intelligent control,Control theory,Feedforward neural network,PID controller,Computer science,Control theory,Robustness (computer science),Artificial intelligence,Neuro control,Adaptive control,Artificial neural network,Machine learning
Conference
Volume
ISSN
Citations 
771
2194-5357
0
PageRank 
References 
Authors
0.34
4
2
Name
Order
Citations
PageRank
J. Enrique Sierra150.90
Matilde Santos214324.39