Neural Network Predictive Control for Autonomous Underwater Vehicle with Input Delay
Author
Source
Journal of Control Science and Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-29
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
A path tracking controller is designed for an autonomous underwater vehicle (AUV) with input delay based on neural network (NN) predictive control algorithm.
To compensate for the time-delay in control system and realize the purpose of path tracking, a predictive control algorithm is proposed.
An NN is used to estimate the nonlinear uncertainty of AUV induced by hydrodynamic coefficients and the coupling of the surge, sway, and yaw angular velocity.
By Lyapunov theorem, stability analysis is also given.
Simulation results show the effectiveness of the proposed control strategy.
American Psychological Association (APA)
Zhao, Jiemei. 2018. Neural Network Predictive Control for Autonomous Underwater Vehicle with Input Delay. Journal of Control Science and Engineering،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1182911
Modern Language Association (MLA)
Zhao, Jiemei. Neural Network Predictive Control for Autonomous Underwater Vehicle with Input Delay. Journal of Control Science and Engineering No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1182911
American Medical Association (AMA)
Zhao, Jiemei. Neural Network Predictive Control for Autonomous Underwater Vehicle with Input Delay. Journal of Control Science and Engineering. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1182911
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1182911