Combined neural network and PD adaptive tracking controller for ship steering system
Author
Source
The Iraqi Journal of Electrical and Electronic Engineering
Issue
Vol. 13, Issue 1 (30 Jun. 2017), pp.59-66, 8 p.
Publisher
University of Basrah College of Engineering
Publication Date
2017-06-30
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Topics
Abstract EN
In this paper, a combined RBF neural network sliding mode control and PD adaptive tracking controller is proposed for controlling the directional heading course of a ship.
Due to the high nonlinearity and uncertainty of the ship dynamics as well as the effect of wave disturbances a performance evaluation and ship controller design is stay difficult task.
The Neural network used for adaptively learn the uncertain dynamics bounds of the ship and their output used as part of the control law moreover the PD term is used to reduce the effect of the approximation error inherited in the RBF networks.
The stability of the system with the combined control law guaranteed through Lyapunov analysis.
Numeric simulation results confirm the proposed controller provide good system stability and convergence.
American Psychological Association (APA)
al-Husayn, Abd al-Basit. 2017. Combined neural network and PD adaptive tracking controller for ship steering system. The Iraqi Journal of Electrical and Electronic Engineering،Vol. 13, no. 1, pp.59-66.
https://search.emarefa.net/detail/BIM-770090
Modern Language Association (MLA)
al-Husayn, Abd al-Basit. Combined neural network and PD adaptive tracking controller for ship steering system. The Iraqi Journal of Electrical and Electronic Engineering Vol. 13, no. 1 (2017), pp.59-66.
https://search.emarefa.net/detail/BIM-770090
American Medical Association (AMA)
al-Husayn, Abd al-Basit. Combined neural network and PD adaptive tracking controller for ship steering system. The Iraqi Journal of Electrical and Electronic Engineering. 2017. Vol. 13, no. 1, pp.59-66.
https://search.emarefa.net/detail/BIM-770090
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 65-66
Record ID
BIM-770090