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

• المؤلفون الرئيسيون: Mohd. Aras, Mohd. Shahrieel, Abdullah, Shahrum Shah, Abdul Rahman, Ahmad Fadzli Nizam, Hasim, Norhaslinda, Abdul Azis, Fadilah, Lim, Wee Teck, Mohd. Nor, Arfah Syahida
• التنسيق: مقال
• اللغة: English
• منشور في: Penerbit UTM Press 2015
• الموضوعات: T Technology (General)
• الوصول للمادة أونلاين: http://eprints.utm.my/id/eprint/58224/1/MohdShahrieelAras2015_DepthControlofanUnderwaterRemotelyOperated.pdf; http://eprints.utm.my/id/eprint/58224/

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...