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

• Main Authors: Mohd Aras, Mohd Shahrieel, Abdullah, Shahrum Shah, Abdul Rahman, Ahmad Fadzli Nizam, Abd Azis, Fadilah, Hasim, Norhaslinda, Lim , Wee Teck, Mohd Nor, Arfah Syahida
• Format: Conference or Workshop Item
• Language: English
• Published: 2014
• Subjects: TC Hydraulic engineering. Ocean engineering
• Online Access: http://eprints.utem.edu.my/id/eprint/14061/1/02012015162428-0001.pdf; http://eprints.utem.edu.my/id/eprint/14061/
• Institution: Universiti Teknikal Malaysia Melaka

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...