Hover control for helicopter using neural network-based model reference adaptive controller
Author
Source
The Iraqi Journal of Electrical and Electronic Engineering
Issue
Vol. 13, Issue 1 (30 Jun. 2017), pp.67-72, 6 p.
Publisher
University of Basrah College of Engineering
Publication Date
2017-06-30
Country of Publication
Iraq
No. of Pages
6
Main Subjects
Topics
Abstract EN
Unmanned aerial vehicles (UAV), have enormous important application in many fields.
Quanser three degree of freedom (3-DOF) helicopter is a benchmark laboratory model for testing and validating the validity of various flight control algorithms.
The elevation control of a 3-DOF helicopter is a complex task due to system nonlinearity, uncertainty and strong coupling dynamical model.
In this paper, an RBF neural network model reference adaptive controller has been used, employing the grate approximation capability of the neural network to match the unknown and nonlinearity in order to build a strong MRAC adaptive control algorithm.
The control law and stable neural network updating law are determined using Lyapunov theory.
American Psychological Association (APA)
al-Husayn, Abd al-Basit A.. 2017. Hover control for helicopter using neural network-based model reference adaptive controller. The Iraqi Journal of Electrical and Electronic Engineering،Vol. 13, no. 1, pp.67-72.
https://search.emarefa.net/detail/BIM-770093
Modern Language Association (MLA)
al-Husayn, Abd al-Basit A.. Hover control for helicopter using neural network-based model reference adaptive controller. The Iraqi Journal of Electrical and Electronic Engineering Vol. 13, no. 1 (2017), pp.67-72.
https://search.emarefa.net/detail/BIM-770093
American Medical Association (AMA)
al-Husayn, Abd al-Basit A.. Hover control for helicopter using neural network-based model reference adaptive controller. The Iraqi Journal of Electrical and Electronic Engineering. 2017. Vol. 13, no. 1, pp.67-72.
https://search.emarefa.net/detail/BIM-770093
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 72
Record ID
BIM-770093