Depth control of an underwater remotely operated vehicle using neural network predictive control

• Main Authors: Mohd Aras, Mohd Shahrieel, Abdullah, Shahrum Shah, Abdul Rahman, Ahmad Fadzli Nizam, Hasim, Norhaslinda, Abdul Azis, Fadilah, Lim Wee, Teck, Mohd Nor, Arfah Syahida
• Format: Article
• Language: English
• Published: 2015
• Subjects: TC Hydraulic engineering. Ocean engineering
• Online Access: http://eprints.utem.edu.my/id/eprint/14663/1/4811-13498-1-SM.pdf; http://eprints.utem.edu.my/id/eprint/14663/

This paper investigates the depth control of an unmanned underwater remotely operated vehicle (ROV) using neural network predictive control (NNPC). The NNPC is applied to control the depth of the ROV to improve the performances of system response in terms of overshoot. To assess the viability of the...